CIS Publications

2024

• Ekaterina Artemova, Verena Blaschke, Barbara Plank.
  Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2024.
  [pdf] [bib]
• Joris Baan, Raquel Fernández, Barbara Plank, Wilker Aziz.
  Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2024.
  [pdf] [bib]
• Peiqin Lin, Chengzhi Hu, Zheyu Zhang, Andre Martins, Hinrich Schuetze.
  mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL): Findings, March 2024.
  [pdf] [bib]
• Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schuetze.
  ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2024.
  [pdf] [bib]
• Lütfi Kerem Senel, Benedikt Ebing, Konul Baghirova, Hinrich Schuetze, Goran Glavaš.
  Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother’s Help – A Benchmark and Evaluation for Turkic Languages.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2024.
  [pdf] [bib]
• Mike Zhang, Rob Goot, Min-Yen Kan, Barbara Plank.
  NNOSE: Nearest Neighbor Occupational Skill Extraction.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2024.
  [pdf] [bib]
• Mike Zhang, Rob Goot, Barbara Plank.
  Entity Linking in the Job Market Domain.
  In The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL): Findings, March 2024.
  [pdf] [bib]

2023

• Alexandra Chronopoulou, Matthew Peters, Alexander Fraser, Jesse Dodge.
  AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.
  In The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL): Findings, May 2023.
  [pdf] [bib]
• Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank.
  Silver Syntax Pre-training for Cross-Domain Relation Extraction.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, Barbara Plank.
  What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Sophie Henning, William Beluch, Alexander Fraser, Annemarie Friedrich.
  A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing.
  In The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May 2023.
  [pdf] [bib]
• Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindřich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting.
  Speaking Multiple Languages Affects the Moral Bias of Language Models.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Katharina Hämmerl, Alina Fastowski, Jindřich Libovický, Alexander Fraser.
  Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Köppl, Hinrich Schütze, Volker Tresp.
  ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze.
  Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), July 2023.
  [pdf] [bib]
• Amir Hossein Kargaran, Ayyoob Imani, François Yvon, Hinrich Schütze.
  GlotLID: Language Identification for Low-Resource Languages.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Abdullatif Köksal, Timo Schick, Hinrich Schütze.
  MEAL: Stable and Active Learning for Few-Shot Prompting.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Abdullatif Köksal, Omer Faruk Yalcin, Ahmet Akbiyik, M. Tahir Kilavuz, Anna Korhonen, Hinrich Schütze.
  Language-Agnostic Bias Detection in Language Models with Bias Probing.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Wen Lai, Alexandra Chronopoulou, Alexander Fraser.
  Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Robert Litschko, Ekaterina Artemova, Barbara Plank.
  Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Robert Litschko, Max Müller-Eberstein, Rob van der Goot, Leon Weber, Barbara Plank.
  Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Yihong Liu, Haotian Ye, Leonie Weissweiler, Renhao Pei, Hinrich Schütze.
  Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze.
  A Crosslingual Investigation of Conceptualization in 1335 Languages.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), July 2023.
  [pdf] [bib]
• Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze.
  PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), July 2023.
  [pdf] [bib]
• Marion Di Marco, Kathy Hämmerl, Alexander Fraser.
  A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar.
  DecompX: Explaining Transformers Decisions by Propagating Token Decomposition.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), July 2023.
  [pdf] [bib]
• Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov.
  Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze.
  Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Ercong Nie, Helmut Schmid, Hinrich Schütze.
  Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2023.
  
• Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze.
  GradSim: Gradient-Based Language Grouping for Effective Multilingual Training.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Xinpeng Wang, Barbara Plank.
  ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Xinpeng Wang, Leonie Weissweiler, Hinrich Schütze, Barbara Plank.
  How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), July 2023.
  [pdf] [bib]
• Leon Weber, Barbara Plank.
  ActiveAED: A Human in the Loop Improves Annotation Error Detection.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen.
  Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Philipp Wicke.
  LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, July 2023.
  [pdf] [bib]
• Shanshan Xu, T.Y.S.S Santosh, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair.
  From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023.
  
• Mike Zhang, Rob van der Goot, Barbara Plank.
  ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain.
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), July 2023.
  [pdf] [bib]

2022

• Joris Baan, Wilker Aziz, Barbara Plank, Raquel Fernández.
  Stop Measuring Calibration When Humans Disagree.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank.
  Evidence > Intuition: Transferability Estimation for Encoder Selection.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Elisa Bassignana, Barbara Plank.
  CrossRE: A Cross-Domain Dataset for Relation Extraction.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2022.
  [pdf] [bib]
• Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta.
  Federated Continual Learning for Text Classification via Selective Inter-client Transfer.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2022.
  [pdf] [bib]
• Philipp Dufter, Martin Schmitt, Hinrich Schütze.
  Position Information in Transformers: An Overview.
  In Computational Linguistics, 1–31, June 2022.
  [DOI]
• Tobias Englmeier, Florian Fink, Uwe Springmann and Klaus U. Schulz.
  Optimizing the Training of Models for Automated Post-Correction of Arbitrary OCR-ed Historical Texts.
  In Journal for Language Technology and Computational Linguistics (JLCL), 2022.
  
• Rob van der Goot, Max Müller-Eberstein and Barbara Plank.
  Frustratingly Easy Performance Improvements for Cross-lingual Transfer: A Tale on BERT and Segment Embeddings.
  In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), June 2022.
  
• Katharina Hämmerl, Jindřich Libovický, Alexander Fraser.
  Combining Static and Contextualised Multilingual Embeddings.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, May 2022.
  [pdf] [bib]
• Viktor Hangya, Hossain Shaikh Saadi and Alexander Fraser
  Improving Low-Resource Languages in Pre-Trained Multilingual Language Models.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze.
  Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology.
  In Proceedings of the Thirty-ninth International Conference on Machine Learning (ICML), July 2022.
  [pdf]
• Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert.
  An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
  [pdf] [bib]
• Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert.
  The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse.
  In Proceedings of the Sixteenth International AAAI Conference on Web and Social Media (ICWSM), May 2022.
  [pdf]
• Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze.
  Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
  In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Findings, July 2022.
  [pdf] [bib]
• Ayyoob Imani, Lütfi Kerem Senel, Masoud Jalili Sabet, François Yvon, Hinrich Schütze.
  Graph Neural Networks for Multiparallel Word Alignment.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, May 2022.
  [pdf] [bib]
• Ayyoob Imani, Silvia Severini, Masoud Jalili Sabet, François Yvon, Hinrich Schütze.
  Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Kristian Nørgaard Jensen and Barbara Plank.
  Fine-tuning vs From Scratch: Do Vision and Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?.
  In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), June 2022.
  
• Sanjeev Kumar Karn, Ning Liu, Hinrich Schütze, Oladimeji Farri.
  Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
  [pdf] [bib]
• Wen Lai, Alexandra Chronopoulou, Alexander Fraser.
  m4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2022.
  [pdf] [bib]
• Wen Lai, Jindřich Libovický, Alexander Fraser.
  Improving Both Domain Robustness and Domain Adaptability in Machine Translation.
  In Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, October 2022.
  [pdf] [bib]
• Sheng Liang, Mengjie Zhao, Hinrich Schütze.
  Modular and Parameter-Efficient Multimodal Fusion with Prompting.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, May 2022.
  [pdf] [bib]
• Jindřich Libovický, Helmut Schmid, Alexander Fraser.
  Why don’t people use character-level machine translation?
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, May 2022.
  [pdf] [bib]
• Yihong Liu, Haris Jabbar, Hinrich Schütze.
  Flow-Adapter Architecture for Unsupervised Machine Translation.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
  [pdf] [bib]
• Antonis Maronikolakis, Axel Wisiorek, Leah Nann, Haris Jabbar, Sahana Udupa, Hinrich Schütze.
  Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, May 2022.
  [pdf] [bib]
• Sajad Mirzababaei, Amir Hossein Kargaran, Hinrich Schütze, Ehsaneddin Asgari
  Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging.
  In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), Nov 2022.
  [pdf] [bib]
• Max Müller-Eberstein, Rob van der Goot, Barbara Plank.
  Probing for Labeled Dependency Trees.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
  [pdf] [bib]
• Max Müller-Eberstein, Rob van der Goot, Barbara Plank.
  Spectral Probing.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Max Müller-Eberstein, Rob van der Goot, Barbara Plank.
  Sort by Structure: Language Model Ranking as Dependency Probing.
  In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), July 2022.
  [pdf] [bib]
• Barbara Plank.
  The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Timo Schick, Hinrich Schütze.
  True Few-Shot Learning With Prompts – A Real-World Perspective.
  In Transactions of the Association for Computational Linguistics (TACL), 2022.
  
• Lütfi Kerem Senel, Furkan Şahinuç, Veysel Yücesoy, Hinrich Schütze, Tolga Çukur, Aykut Koç.
  Learning Interpretable Word Embeddings via Bidirectional Alignment of Dimensions with Semantic Concepts.
  In Information Processing & Management, Volume 59, Issue 3, May 2022.
  [DOI]
• Lütfi Kerem Senel, Timo Schick, Hinrich Schütze.
  CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
  [pdf] [bib]
• Silvia Severini, Ayyoob ImaniGooghari, Philipp Dufter and Hinrich Schütze.
  Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages.
  In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), June 2022.
  
• Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze and Volker Tresp.
  Improving Scene Graph Classification by Exploiting Knowledge from Texts.
  In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), June 2022.
  [pdf]
• Victor Steinborn, Philipp Dufter, Haris Jabbar, Hinrich Schütze.
  An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models.
  In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Findings, July 2022.
  [pdf] [bib]
• Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, Barbara Plank.
  Experimental Standards for Deep Learning in Natural Language Processing Research.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Dec 2022.
  [pdf] [bib]
• Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze.
  The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative.
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  [pdf] [bib]
• Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze.
  CaMEL: Case Marker Extraction without Labels.
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
  [pdf] [bib]
• Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze.
  LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework.
  In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Findings, July 2022.
  [pdf] [bib]
• Mike Zhang, Kristian Nørgaard Jensen and Barbara Plank.
  Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning.
  In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), June 2022.
  
• Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank.
  SkillSpan: Hard and Soft Skill Extraction from English Job Postings.
  In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), July 2022.
  [pdf] [bib]

2021

• Alexandra Chronopoulou, Dario Stojanovski and Alexander Fraser.
  Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation.
  In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021.
  [pdf] [bib]
• Philipp Dufter, Nora Kassner and Hinrich Schütze.
  Static Embeddings as Efficient Knowledge Bases?.
  In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021.
  [pdf] [bib]
• Tobias Eder, Viktor Hangya and Alexander Fraser.
  Anchor-based Bilingual Word Embeddings for Low-Resource Languages.
  In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), August 2021.
  [pdf] [bib]
• Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard Hovy, Hinrich Schütze, Yoav Goldberg.
  Measuring and Improving Consistency in Pretrained Language Models.
  In Transactions of the Association for Computational Linguistics (TACL), 9: 1408–1424, Dec 2021.
  [DOI]
• Pankaj Gupta, Yatin Chaudhary and Hinrich Schütze.
  Multi-source Neural Topic Modeling in Multi-view Embedding Spaces.
  In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021.
  [pdf] [bib]
• Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze.
  Dynamic Contextualized Word Embeddings.
  In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), August 2021.
  [pdf] [bib]
• Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze.
  Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words.
  In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), August 2021.
  [pdf] [bib]
• Ayyoob ImaniGooghari, Masoud Jalili Sabet, Philipp Dufter, Michael Cysou and Hinrich Schütze.
  ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus.
  In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, August 2021.
  [pdf] [bib]
• Ayyoob ImaniGooghari, Masoud Jalili Sabet, Lutfi Kerem Senel, Philipp Dufter, François Yvon and Hinrich Schütze.
  Graph Algorithms for Multiparallel Word Alignment.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  
• Nora Kassner, Philipp Dufter and Hinrich Schütze.
  Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models.
  In The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Virtual, April 2021. [Best Short Paper]
  [pdf] [bib]
• Nora Kassner, Oyvind Tafjord, Hinrich Schütze and Peter Clark.
  BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  
• Lutfi Kerem Senel and Hinrich Schütze.
  Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models.
  In The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Virtual, April 2021.
  [pdf] [bib]
• Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger and Hinrich Schütze.
  Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data.
  In Proceedings of the Second Workshop on Domain Adaptation for NLP (adaptNLP), Ukraine, April 2021. [Best Paper Award]
  [pdf] [bib]
• Antonis Maronikolakis, Philipp Dufter and Hinrich Schütze.
  Wine is not v i n. On the Compatibility of Tokenizations across Languages.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Nov 2021.
  
• Luisa März, Stefan Schweter, Nina Poerner, Benjamin Roth, Hinrich Schütze
  Data Centric Domain Adaptation for Historical Text with OCR Errors.
  In International Conference on Document Analysis and Recognition (ICDAR), pp. 748-761, Sept 2021.
  [DOI]
• Denis Peskov, Viktor Hangya, Jordan Boyd-Graber and Alexander Fraser.
  Adapting Entities across Languages and Cultures.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Nov 2021.
  
• Timo Schick and Hinrich Schütze.
  Few-Shot Text Generation with Natural Language Instructions.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  
• Timo Schick and Hinrich Schütze.
  Generating Datasets with Pretrained Language Models.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  
• Timo Schick and Hinrich Schütze.
  It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.
  In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021. [Outstanding Long Paper]
  [pdf] [bib]
• Timo Schick and Hinrich Schütze.
  Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference.
  In The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Virtual, April 2021.
  [pdf] [bib]
• Timo Schick, Sahana Udupa, Hinrich Schütze.
  Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP.
  In Transactions of the Association for Computational Linguistics (TACL), 9: 1408–1424, Dec 2021.
  [DOI]
• Martin Schmitt and Hinrich Schütze.
  Continuous Entailment Patterns for Lexical Inference in Context.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  
• Martin Schmitt and Hinrich Schütze.
  Language Models for Lexical Inference in Context.
  In The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Virtual, April 2021.
  [pdf] [bib]
• Mengjie Zhao and Hinrich Schütze.
  Discrete and Soft Prompting for Multilingual Models.
  In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  
• Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulić, Roi Reichart, Anna Korhonen and Hinrich Schütze.
  A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters.
  In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), August 2021.
  [pdf] [bib]

2020

• Yatin Chaudhary, Pankaj Gupta and Hinrich Schütze.
  Explainable and Discourse Topic-aware Neural Language Understanding.
  In Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML), July 2020.
  [pdf]
• Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas Runkler and Hinrich Schütze.
  TopicBERT for Energy Efficient Document Classfication.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]
• Alexandra Chronopoulou, Dario Stojanovski and Alexander Fraser.
  Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
  [pdf] [bib]
• Philipp Dufter and Hinrich Schütze.
  Identifying Elements Essential for BERT's Multilinguality.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
  [pdf] [bib]
• Philipp Dufter, Martin Schmitt and Hinrich Schütze.
  Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention.
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December 2020.
  [pdf] [bib]
• Pankaj Gupta, Yatin Chaudhary, Thomas Runkler and Hinrich Schütze.
  Neural Topic Modeling with Continual Lifelong Learning.
  In Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML), July 2020.
  [pdf]
• Viktor Hangya and Alexander Fraser.
  Towards Handling Compositionality in Low-Resource Bilingual Word Induction.
  In Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (AMTA), USA, November 2020.
  [pdf] [bib]
• Valentin Hofmann, Hinrich Schütze and Janet Pierrehumbert.
  A Graph Auto-encoder Model of Derivational Morphology.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze.
  Predicting the Growth of Morphological Families from Social and Linguistic Factors.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze.
  DagoBERT: Generating Derivational Morphology with a Pretrained Language Model.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
  [pdf] [bib]
• Masoud Jalili Sabet, Philipp Dufter, François Yvon and Hinrich Schütze.
  SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]
• Nora Kassner, Benno Krojer and Hinrich Schütze.
  Are Pretrained Language Models Symbolic Reasoners Over Knowledge?.
  In Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL), 2020.
  [pdf] [bib]
• Nora Kassner and Hinrich Schütze.
  BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]
• Nora Kassner and Hinrich Schütze.
  Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• Michel Leah, Viktor Hangya and Alexander Fraser.
  Exploring Bilingual Word Embeddings for Hiligaynon, a Low-Resource Language.
  In Proceedings of The 12th Language Resources and Evaluation Conference (LREC), May 2020.
  [pdf] [bib]
• Sheng Liang, Philipp Dufter and Hinrich Schütze.
  Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations.
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December 2020.
  [pdf] [bib]
• Jindřich Libovický and Alexander Fraser.
  Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
  [pdf] [bib]
• Jindřich Libovický, Rudolf Rosa and Alexander Fraser.
  On the Language Neutrality of Pre-trained Multilingual Representations.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]
• Marion Weller-Di Marco and Alexander Fraser.
  Modeling Word Formation in English–German Neural Machine Translation.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• Antonios Maronikolakis, Danae Sánchez Villegas, Daniel Preotiuc-Pietro and Nikolaos Aletras.
  Analyzing Political Parody in Social Media.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge and Hinrich Schütze.
  Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models.
  In Proceedings of the National Academy of Sciences (PNAS), 117(42), USA, October 2020.
  [preprint]
• Alena Moiseeva and Hinrich Schütze.
  TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain.
  In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, February 2020.
  [pdf]
• Nina Poerner, Ulli Waltinger and Hinrich Schütze.
  E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]
• Nina Poerner, Ulli Waltinger and Hinrich Schütze.
  Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]
• Nina Poerner, Ulli Waltinger and Hinrich Schütze.
  Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• Timo Schick, Helmut Schmid and Hinrich Schütze.
  Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification.
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December 2020.
  [pdf] [bib]
• Timo Schick and Hinrich Schütze.
  BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance.
  In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020.
  [pdf] [bib]
• Timo Schick and Hinrich Schütze.
  Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking.
  In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, February 2020.
  [preprint]
• Silvia Severini, Viktor Hangya, Alexander Fraser and Hinrich Schütze.
  Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction.
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December 2020.
  [pdf] [bib]
• Martin Schmitt, Sahand Sharifzadeh, Volker Tresp and Hinrich Schütze.
  An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
  [pdf] [bib]
• Dario Stojanovski, Benno Krojer, Denis Peskov and Alexander Fraser.
  ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation.
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December 2020.
  [pdf] [bib]
• Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze and Iryna Gurevych.
  Fine-Grained Argument Unit Recognition and Classification.
  In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, February 2020.
  [pdf]
• Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi and Hinrich Schütze.
  Masking as an Efficient Alternative to Finetuning for Pretrained Language Models.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
  [pdf] [bib]-
• Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh and Hinrich Schütze.
  Quantifying the Contextualization of Word Representations with Semantic Class Probing.
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, November 2020.
  [pdf] [bib]

2019

• Heike Adel and Hinrich Schütze.
  Type-aware Convolutional Neural Networks for Slot Filling.
  In The Journal of Artificial Intelligence Research (JAIR), Volume 66, pp. 297-339, September 2019.
  [DOI]
• Philipp Dufter and Hinrich Schütze.
  Analytical Methods for Interpretable Ultradense Word Embeddings.
  In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, November 2019.
  [pdf] [bib]
• Pankaj Gupta, Yatin Chaudhary, Florian Buettner and Hinrich Schütze.
  Document Informed Neural Autoregressive Topic Models with Distributional Prior.
  In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Hawaii, USA, January/February 2019.
  [pdf] [bib]
• Pankaj Gupta, Yatin Chaudhary, Florian Buettner and Hinrich Schütze.
  textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR.
  In Proceedings of the Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 2019.
  [pdf] [bib]
• Pankaj Gupta, Hinrich Schütze, Subburam Rajaram and Thomas A. Runkler.
  Neural Relation Extraction Within and Across Sentence Boundaries.
  In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Hawaii, USA, January/February 2019.
  [pdf] [bib]
• Viktor Hangya and Alexander Fraser.
  Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]
• Matthias Huck, Viktor Hangya and Alexander Fraser.
  Better OOV Translation with Bilingual Terminology Mining.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]
• Apostolos Kemos, Heike Adel and Hinrich Schütze.
  Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging.
  In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, USA, June 2019.
  [pdf] [bib]
• Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger and Hinrich Schütze.
  News Article Teaser Tweets and How to Generate Them.
  In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, USA, June 2019.
  [pdf] [bib]
• Luisa März, Dietrich Trautmann and Benjamin Roth.
  Domain adaptation for part-of-speech tagging of noisy user-generated text.
  In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, USA, June 2019.
  [pdf] [bib]
• Stoyan Mihov and Klaus Ulrich Schulz.
  Finite-state Techniques: Automata, Transducers and Bimachines.
  In Volume 60 of Cambridge Tracts in Theoretical Computer Science, 2019.
  [DOI]
• Nina Poerner and Hinrich Schütze.
  Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection.
  In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, November 2019.
  [pdf] [bib]
• Timo Schick and Hinrich Schütze.
  Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts.
  In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, USA, June 2019.
  [pdf] [bib]
• Timo Schick and Hinrich Schütze.
  Learning Semantic Representations for Novel Words: Leveraging Both Form and Context.
  In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Hawaii, USA, January/February 2019.
  [pdf] [bib]
• Martin Schmitt and Hinrich Schütze.
  SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]
• Marina Sedinkina, Nikolas Breitkopf and Hinrich Schütze.
  Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]
• Alona Sydorova, Nina Poerner and Benjamin Roth.
  Interpretable Question Answering on Knowledge Bases and Text.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]
• Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre and Hinrich Schütze.
  Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]
• Mengjie Zhao and Hinrich Schütze.
  A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July/August 2019.
  [pdf] [bib]

2018

• Fabienne Braune, Tobias Eder, Viktor Hangya and Alexander Fraser.
  Evaluating Bilingual Word Embeddings on The Long Tail.
  In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), New Orleans, LA, USA, June 2018.
  [pdf] [bib]
• Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Stefan Rüd and Hinrich Schütze.
  SMAPH: A Piggyback Approach for Entity-Linking in Web Queries.
  In ACM Transactions on Information Systems (TOIS), January 2019.
  [pdf] [bib]
• Philipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander Fraser and Hinrich Schütze.
  Embedding Learning Through Multilingual Concept Induction.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Melbourne, Australia, July 2018.
  [pdf] [bib]
• Pankaj Gupta, Benjamin Roth and Hinrich Schütze.
  Joint Bootstrapping Machines for High Confidence Relation Extraction.
  In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), New Orleans, LA, USA, June 2018.
  [pdf] [bib]
• Pankaj Gupta, Subburam Rajaram, Bernt Andrassy and Hinrich Schütze.
  Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time.
  In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), New Orleans, LA, USA, June 2018.
  [pdf] [bib]
• Viktor Hangya, Fabienne Braune, Alexander Fraser and Hinrich Schütze.
  Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Melbourne, Australia, July 2018.
  [pdf] [bib]
• Katharina Kann, Jesus Manuel Mager Hois, Ivan Vladimir Meza Ruiz and Hinrich Schütze.
  Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages.
  In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), New Orleans, LA, USA, June 2018.
  [pdf] [bib]
• Katharina Kann and Hinrich Schütze.
  Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting.
  In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October/November 2018.
  [pdf] [bib]
• Nina Poerner, Hinrich Schütze and Benjamin Roth.
  Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Melbourne, Australia, July 2018.
  [pdf] [bib]
• Benjamin Roth, Costanza Conforti, Nina Poerner, Sanjeev Karn and Hinrich Schütze.
  Neural Architectures for Open-Type Relation Argument Extraction.
  In Journal of Natural Language Engineering, pages 1-20, doi:10.1017/S1351324918000451, 2018.
  [preprint] [bib]
• Martin Schmitt, Simon Steinheber, Konrad Schreiber and Benjamin Roth.
  Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks.
  In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October/November 2018.
  [pdf] [bib]
• Yadollah Yaghoobzadeh, Heike Adel and Hinrich Schütze.
  Corpus-Level Fine-Grained Entity Typing.
  In Journal of Artificial Intelligence Research, 61, pp.835-862, 2018.
  [pdf] [bib]
• Yadollah Yaghoobzadeh and Hinrich Schütze.
  Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing.
  In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October/November 2018.
  [pdf] [bib]
• Wenpeng Yin, Dan Roth and Hinrich Schütze.
  End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Melbourne, Australia, July 2018.
  [pdf] [bib]
• Wenpeng Yin and Hinrich Schütze.
  Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms.
  In Transactions of the Association for Computational Linguistics (TACL), December 2018.
  [pdf & bib]
• Wenpeng Yin, Yadollah Yaghoobzadeh and Hinrich Schütze.
  Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs.
  In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 2018.
  [pdf] [bib]

2017

• Heike Adel and Hinrich Schütze.
  Exploring Different Dimensions of Attention for Uncertainty Detection.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, April 2017.
  [pdf] [bib]
• Heike Adel, Francine Chen and Yan-Ying Chen.
  Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL, Short Paper), Valencia, Spain, April 2017.
  [pdf] [bib]
• Heike Adel and Hinrich Schütze.
  Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification.
  In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP, Short Paper), Copenhagen, Denmark, September 2017.
  [pdf] [bib]
• Ehsaneddin Asgari and Hinrich Schütze.
  Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages.
  In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 2017.
  [pdf] [bib]
• Juan Miguel Cejuela, Aleksandar Bojchevski, Carsten Uhlig, Rustem Bekmukhametov, Sanjeev Kumar Karn, Shpend Mahmuti, Ashish Baghudana, Ankit Dubey, Venkata P. Satagopam and Burkhard Rost.
  nala: text mining natural language mutation mentions.
  In Bioinformatics, Oxford, England, Februar 2017.
  [web]
• Ryan Cotterell and Hinrich Schütze.
  Joint Semantic Synthesis and Morphological Analysis of the Derived Word.
  In Transactions of the Association for Computational Linguistics (TACL), Vancouver, Canada, August 2017.
  [pdf] [bib]
• Florian Fink, Klaus U. Schulz and Uwe Springmann.
  Profiling of OCR'ed historical texts revisited.
  In Proceedings of the 2nd Digital Access to Textual Cultural Heritage Conference (DATech 2017), Göttingen, Germany, June 2017.
  [pdf]
  Best Paper Award
• Annemarie Friedrich and Damyana Gateva.
  Classification of telicity using cross-linguistic annotation projection.
  In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP, Short Paper), Copenhagen, Denmark, September 2017.
  [pdf] [bib]
• Matthias Huck, Aleš Tamchyna, Ondřej Bojar and Alexander Fraser.
  Producing Unseen Morphological Variants in Statistical Machine Translation.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL, Short Paper), Valencia, Spain, April 2017.
  [pdf] [bib]
• Katharina Kann, Ryan Cotterell and Hinrich Schütze.
  Neural Multi-Source Morphological Reinflection.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, April 2017.
  [pdf] [bib]
• Katharina Kann, Ryan Cotterell and Hinrich Schütze.
  One-Shot Neural Cross-Lingual Transfer for Paradigm Completion.
  In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Vancouver, Canada, August 2017.
  [pdf] [bib]
• Sanjeev Karn, Ulli Waltinger and Hinrich Schütze.
  End-to-End Trainable Attentive Decoder for Hierarchical Entity Typing.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL, Short Paper), Valencia, Spain, April 2017.
  [pdf] [bib]
• Sascha Rothe and Hinrich Schütze.
  AutoExtend: Combining Word Embeddings with Semantic Resources.
  To appear in Computational Linguistics, 2017.
  [pdf] [bib]
• Hinrich Schütze.
  Nonsymbolic Text Representation.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, April 2017.
  [pdf] [bib]
• Marion Weller-Di Marco, Alexander Fraser and Sabine Schulte im Walde.
  Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL, Short Paper), Valencia, Spain, April 2017.
  [pdf] [bib]
• Yadollah Yaghoobzadeh*, Heike Adel* and Hinrich Schütze. ( * These authors contributed equally to this work. )
  Noise Mitigation for Neural Entity Typing and Relation Extraction.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, April 2017.
  [pdf] [bib]
• Yadollah Yaghoobzadeh and Hinrich Schütze.
  Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, April 2017.
  [pdf] [bib]
• Wenpeng Yin and Hinrich Schütze.
  Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching.
  In Proceedings of the 2017 Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, April 2017.
  [pdf] [bib]
• Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang and Bowen Zhou
  Improved Neural Relation Detection for Knowledge Base Question Answering.
  In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Vancouver, Canada, August 2017.
  [pdf] [bib]

2016

• Heike Adel, Benjamin Roth and Hinrich Schütze.
  Comparing Convolutional Neural Networks to Traditional Models for Slot Filling.
  In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics, San Diego, USA, June 2016.
  [pdf] [bib]

• Fabienne Braune, Alexander Fraser, Hal Daumé III and Aleš Tamchyna.
  A Framework for Discriminative Rule Selection in Hierarchical Moses.
  In Proceedings of the First Conference on Machine Translation (WMT), Berlin, Germany, August 2016.
  [pdf] [bib]

• Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Hinrich Schütze and Stefan Rüd.
  A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries.
  In Proceedings of the 25th International Conference on World Wide Web, Montreal, Canada, April 2016.
  [pdf] [bib]

• Ryan Cotterell, Jason Eisner and Hinrich Schütze.
  Morphological Smoothing and Extrapolation of Word Embeddings.
  In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016.
  [pdf] [bib]

• Ryan Cotterell, Arun Kumar and Hinrich Schütze.
  Morphological Segmentation Inside-Out.
  In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, USA, November 2016.
  [pdf] [bib]

• Ryan Cotterell, Tim Vieira and Hinrich Schütze.
  A Joint Model of Orthography and Morphological Segmentation.
  In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics, San Diego, USA, June 2016.
  [pdf] [bib]

• Sebastian Ebert, Thomas Müller and Hinrich Schütze.
  LAMB: A Good Shepherd of Morphologically Rich Languages.
  In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, USA, November 2016.
  [pdf] [bib]

• Pankaj Gupta, Hinrich Schütze and Bernt Andrassy.
  Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction.
  In Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, December 2016.
  [pdf via ResearchGate] [bib]

• Katharina Kann, Ryan Cotterell and Hinrich Schütze.
  Neural Morphological Analysis: Encoding-Decoding Canonical Segments.
  In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, USA, November 2016.
  [pdf] [bib]

• Katharina Kann and Hinrich Schütze.
  Morphological Reinflection with Encoder-Decoder Models and Edit Trees.
  In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016.
  [pdf] [bib]

• Anita Ramm and Alexander Fraser.
  Modeling Verbal Inflection for English to German SMT.
  In Proceedings of the First Conference on Machine Translation (WMT), Berlin, Germany, August 2016.
  [pdf] [bib]

• Sascha Rothe and Hinrich Schütze.
  Word Embedding Calculus in Meaningful Ultradense Subspaces.
  In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016.
  [pdf] [bib]

• Sascha Rothe, Sebastian Ebert and Hinrich Schütze.
  Ultradense Word Embeddings by Orthogonal Transformation.
  In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics, San Diego, USA, June 2016.
  [pdf] [bib]

• Hassan Sajjad, Alexander Fraser, Helmut Schmid, Hinrich Schütze.
  Statistical Models for Unsupervised, Semi-supervised and Supervised Transliteration Mining.
  In Computational Linguistics, to appear.
  [pdf] [bib]

• Uwe Springmann, Helmut Schmid, Dietmar Najock.
  LatMor: A Latin Finite-State Morphology Encoding Vowel Quantity.
  In Open Linguistics, 2016.
  [pdf] [bib] LatMor

• Aleš Tamchyna, Alexander Fraser and Ondřej Bojar.
  Target-Side Context for Discriminative Models in Statistical Machine Translation.
  In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016.
  [pdf] [bib]

• Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth and Andrew McCallum.
  Multilingual Relation Extraction using Compositional Universal Schema.
  In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics, San Diego, USA, June 2016.
  [pdf] [bib]

• Tim Vieira, Ryan Cotterell and Jason Eisner.
  Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity.
  In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, USA, November 2016.
  [pdf] [bib]

• Ngoc Thang Vu, Heike Adel, Pankaj Gupta and Hinrich Schütze.
  Combining Recurrent and Convolutional Neural Networks for Relation Classification.
  In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics, San Diego, USA, June 2016.
  [pdf] [bib]

• Marion Weller-Di Marco, Alexander Fraser and Sabine Schulte im Walde.
  Modeling Complement Types in Phrase-based SMT.
  In Proceedings of the First Conference on Machine Translation (WMT), Berlin, Germany, August 2016.
  [pdf] [bib]

• Yadollah Yaghoobzadeh and Hinrich Schütze.
  Intrinsic Subspace Evaluation of Word Embedding Representations.
  In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016.
  [pdf] [bib]

• Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou.
  ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs.
  In Transactions of the Association for Computational Linguistics, 2016.
  [pdf] [bib]

• Wenpeng Yin and Hinrich Schütze.
  Learning Word Meta-Embeddings.
  In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016.
  [pdf] [bib]

• Wenpeng Yin, Mo Yu, Bin Xiang, Bowen Zhou, Hinrich Schütze.
  Simple Question Answering by Attentive Convolutional Neural Network.
  In Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, December 2016.
  [pdf] [bib]

2015

• Fabienne Braune, Nina Seemann and Alexander Fraser.
  Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation.
  In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September 2015.
  [pdf] [bib]

• Ryan Cotterell, Thomas Müller, Alexander Fraser and Hinrich Schütze.
  Labeled Morphological Segmentation with Semi-Markov Models.
  In Proceedings of the 19th Conference on Computational Natural Language Learning, Beijing, China, July 2015.
  [pdf] [bib]

• Ryan Cotterell and Hinrich Schütze.
  Morphological Word-Embeddings.
  In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, USA, May-June 2015.
  [pdf] [bib]

• Nadir Durrani, Helmut Schmid, Alexander Fraser, Philipp Koehn, and Hinrich Schütze.
  The Operation Sequence Model – Combining N-Gram-based and Phrase-based Statistical Machine Translation. Computational Linguistics, 41(2):157-186, 2015.
  [pdf] [bib]

• Thomas Müller, Ryan Cotterell, Alexander Fraser and Hinrich Schütze.
  Joint Lemmatization and Morphological Tagging with Lemming.
  In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September 2015.
  [pdf] [bib] attachment
  Honorable mention for best short paper

• Thomas Müller and Hinrich Schütze.
  Robust Morphological Tagging with Word Representations.
  In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, USA, May-June 2015.
  [pdf] appendix [bib] resources MarLiN

• Sascha Rothe and Hinrich Schütze.
  AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes.
  In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Beijing, China, July 2015.
  [pdf] [bib] AutoExtend
  Best student paper

• Katrin Schweitzer, Michael Walsh, Sasha Calhoun, Hinrich Schütze, Bernd Möbius, Antje Schweitzer, and Grzegorz Dogil.
  Exploring the relationship between intonation and the lexicon: Evidence for lexicalised storage of intonation. Speech Communication, 66(0):65–81, 2015.
  doi [bib]

• Irina Sergienya and Hinrich Schütze.
  Learning Better Embeddings for Rare Words Using Distributional Representations.
  In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September 2015.
  [pdf] [bib]

• Zhiang Wu, Jie Cao, Guixiang Zhu, Wenpeng Yin, Alfredo Cuzzocrea, and Jin Shi.
  Detecting overlapping communities in poly-relational networks. World Wide Web, pages 1-18, 2015.
  doi [bib]

• Yadollah Yaghoobzadeh and Hinrich Schütze.
  Corpus-level Fine-grained Entity Typing using Contextual Information.
  In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September 2015.
  [pdf] [bib]

• Min Yang, Wenting Tu, Wenpeng Yin, Ziyu Lu.
  Deep Markov Neural Network for Sequential Data Classification.
  In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, Beijing, China, July 2015.
  [pdf] [bib]

• Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, and Kam-Pui Chow.
  LCCT: A Semi-supervised Model for Sentiment Classification.
  In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, USA, May-June 2015.
  [pdf] [bib]

• Wenpeng Yin and Yulong Pei.
  Optimizing Sentence Modelling and Selection for Document Summarization.
  In Proceedings of the 24th International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, July 2015.
  [pdf] [bib]

• Wenpeng Yin, Tobias Schnabel and Hinrich Schütze.
  Online Updating of Word Representations for Part-of-Speech Tagging.
  In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September 2015.
  [pdf] [bib]

• Wenpeng Yin and Hinrich Schütze.
  Convolutional Neural Network for Paraphrase Identification.
  In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, USA, May-June 2015.
  [pdf] [bib]

• Wenpeng Yin and Hinrich Schütze.
  Discriminative Phrase Embedding for Paraphrase Identification.
  In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, USA, May-June 2015.
  [pdf] [bib] PhraseEmbedding

• Wenpeng Yin and Hinrich Schütze.
  Multichannel Variable-Size Convolution for Sentence Classification.
  In Proceedings of the 19th Conference on Computational Natural Language Learning, Beijing, China, July 2015.
  [pdf] [bib]

• Wenpeng Yin and Hinrich Schütze.
  MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity.
  In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Beijing, China, July 2015.
  [pdf] [bib]

2014

• Heike Adel and Hinrich Schütze.
  Using Mined Coreference Chains as a Resource for a Semantic Task.
  In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, October 2014.
  [pdf] [bib] attachment Antonyms corefResources

• Sören Brügmann, Nadjet Bouayad-Agha, Alicia Burga, Serguei Carrascosa, Alberto Ciaramella, Marco Ciaramella, Joan Codina-Filba, Enric Escorsa, Alex Judea, Simon Mille, Andreas Müller, Horacio Saggion, Patrick Ziering, Hinrich Schütze, and Leo Wanner.
  Towards content-oriented patent document processing: Intelligent patent analysis and summarization. World Patent Information, December 2014.
  doi [bib]

• Apostolos Antonacopoulos and Klaus U. Schulz, editors.
  DATeCH ’14: Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, Madrid, Spain, 2014. ACM.
  doi [bib]

• Fabienne Cap, Alexander Fraser, Marion Weller, and Aoife Cahill.
  How to produce unseen teddy bears: Improved morphological processing of compounds in SMT.
  In Proceedings of the 2014 Conference of the European Chapter of the Association for Computational Linguistics, Gothenburg, Sweden, 2014.
  [pdf] [bib]

• Nadir Durrani, Philipp Koehn, Helmut Schmid, and Alexander Fraser.
  Investigating the Usefulness of Generalized Word Representations in SMT.
  In Proceedings of COLING 2014 , Dublin, Ireland, August 2014.
  [pdf] [bib]

• Sebastian Ebert and Hinrich Schütze.
  Fine-Grained Contextual Predictions for Hard Sentiment Words.
  In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, October 2014.
  [pdf] [bib] attachment

• Charles Jochim and Hinrich Schütze.
  Improving Citation Polarity Classification with Product Reviews.
  In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , Baltimore, USA, June 2014.
  [pdf] [bib] xhtml

• Alex Judea, Hinrich Schütze, and Sören Brügmann.
  Unsupervised Training Set Generation for Automatic Acquisition of Technical Terminology in Patents.
  In Proceedings of COLING 2014 , Dublin, Ireland, August 2014.
  [pdf] [bib]

• Thomas Müller, Richárd Farkas, Alex Judea, Helmut Schmid, and Hinrich Schütze.
  Dependency parsing with latent refinements of part-of-speech tags.
  In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, October 2014.
  [pdf] [bib] HMMLA

• Sascha Rothe and Hinrich Schütze.
  CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure.
  In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, USA, June 2014.
  [pdf] [bib] xhtml CoSimRank

• Christian Scheible and Hinrich Schütze.
  Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning.
  In Proceedings of the 2014 Conference of the European Chapter of the Association for Computational Linguistics (short papers), Gothenburg, Sweden, 2014.
  [pdf] [bib]

• Christian Scheible and Hinrich Schütze.
  Picking the Amateur’s Mind – Predicting Chess Player Strength from Game Annotations.
  In Proceedings of COLING 2014 , Dublin, Ireland, August 2014.
  [pdf] [bib]

• Tobias Schnabel and Hinrich Schütze.
  FLORS: Fast and Simple Domain Adaptation for Part-of-Speech Tagging.
  In Transactions of the Association for Computational Linguistics (TACL), 2:15–26, February 2014.
  [pdf] [bib]

2013

• Jimmy Dubuisson, Jean-Pierre Eckmann, Christian Scheible, and Hinrich Schütze.
  The topology of semantic knowledge.
  In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 669–680, Seattle, Washington, USA, October 2013. Association for Computational Linguistics.
  [pdf] [bib] attachment

• Nadir Durrani, Alexander Fraser, and Helmut Schmid.
  Model With Minimal Translation Units, But Decode With Phrases.
  In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1–11, Atlanta, Georgia, June 2013. Association for Computational Linguistics.
  [pdf] [bib]

• Nadir Durrani, Alexander Fraser, Helmut Schmid, Hieu Hoang, and Philipp Koehn.
  Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT?
  In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 399–405, Sofia, Bulgaria, August 2013. Association for Computational Linguistics.
  [pdf] [bib]

• Alexander Fraser, Helmut Schmid, Richárd Farkas, Renjing Wang, and Hinrich Schütze.
  Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language. Computational Linguistics, 39(1):57–85, 2013.
  [pdf] [bib]

• Thomas Müller, Helmut Schmid, and Hinrich Schütze.
  Efficient Higher-Order CRFs for Morphological Tagging.
  In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 322–332, Seattle, Washington, USA, October 2013. Association for Computational Linguistics.
  [pdf] [bib] attachment MarMoT

• Ulrich Reffle and Christoph Ringlstetter.
  Unsupervised profiling of OCRed historical documents. Pattern Recognition, 46(5):1346–1357, 2013.
  doi [bib]

• Christian Scheible and Hinrich Schütze.
  Sentiment Relevance.
  In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 954–963, Sofia, Bulgaria, August 2013. Association for Computational Linguistics.
  [pdf] [bib]

• Tobias Schnabel, and Hinrich Schütze.
  Towards robust cross-domain domain adaptation for part-of-speech tagging.
  In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 198–206, Nagoya, Japan, October 2013. Asian Federation of Natural Language Processing.
  [pdf] [bib]

• Marion Weller, Alexander Fraser, and Sabine Schulte im Walde.
  Using subcategorization knowledge to improve case prediction for translation to German.
  In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 593–603, Sofia, Bulgaria, August 2013. Association for Computational Linguistics.
  [pdf] [bib]

• Patrick Ziering, Lonneke van der Plas, and Hinrich Schütze.
  Multilingual Lexicon Bootstrapping - Improving a Lexicon Induction System Using a Parallel Corpus.
  In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 1321–1329, Nagoya, Japan, October 2013. Asian Federation of Natural Language Processing.
  [pdf] [bib]

• Patrick Ziering, Lonneke van der Plas, and Hinrich Schütze.
  Bootstrapping Semantic Lexicons for Technical Domains.
  In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 844–848, Nagoya, Japan, October 2013. Asian Federation of Natural Language Processing.
  [pdf] [bib]

2008

• Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze.
  Introduction to Information Retrieval. 2008. Cambridge University Press.
  Website with access to free PDF. [bib]

1990-2012

For CIS publications before 2013, please check the list of all publications.

A list of selected publications of the former StatNLP group at IMS, University of Stuttgart, before 2013 is provided here.