Piggyback
Linguistic representations based on search engine results. Much of the success of statistical natural language processing applications hinges on the quality and quantity of the information that a given representational formalism makes available to the learning algorithm. This project investigates if representations can be enriched using search results and to what extent this improves performance on a variety of natural language tasks.