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Martin Schmitt

I am a PhD student in Natural Language Processing and Machine Learning at CIS (Center for Information and Language Processing), Munich University (LMU Munich), supervised by Prof. Dr. Hinrich Schütze.
My current research focus lies in computational models of context-sensitive relation inference.

Research interests


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 2019. (Acceptance rate: 25.7%)
preprint   data & code   poster page

Stefan Evert, Philipp Heinrich, Klaus Henselmann, Ulrich Rabenstein, Elisabeth Scherr, Martin Schmitt and Lutz Schröder.
Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures.
In: Journal of Logic, Language and Information (JoLLI), 2019. (Impact factor: 0.536)
preprint   bib   view online

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, Short Paper),
Brussels, Belgium, November 2018. (Acceptance rate: 23.2%)
pdf   bib   poster page

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. (Acceptance rate: 25.3%)
pdf   bib

Honors and Awards

I was awarded a Ph.D. scholarship by the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes).