Daniel Dahlmeier — новинки

A large part of the world’s population regularly needs to communicate in English, even though English is not their native language. The goal of automatic grammatical error correction is to build computer programs that can provide automatic feedback about erroneous word usage and ill-formed grammatical constructions to a language learner. Grammatical error correction involves various aspects of computational linguistics, which makes the task an interesting research topic. At the same time, grammatical error correction has great potential for practical applications for language learners.

Prepositions can express a variety of different semantic relations, such as time, location, or manner. To automatically disambiguate the meaning of prepositions is a challenging task for natural language processing applications. This work investigates automatic word sense disambiguation and semantic role labeling techniques for prepositions. In particular, it empirically investigates how information from one task can improve performance on the other task and shows that jointly disambiguating word senses and semantic roles is superior to disambiguating them independently.