11 citations · 32 across the 35 of their papers we have counts for
4 papers · 2 filters
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Nafise Sadat Moosavi, Michael Strube
Coreference resolution is an intermediate step for text understanding. It is used in tasks and domains for which we do not necessarily have coreference annotated corpora. Therefore…
Revisiting Selectional Preferences for Coreference Resolution
Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube
Selectional preferences have long been claimed to be essential for coreference resolution. However, they are mainly modeled only implicitly by current coreference resolvers. We pro…
Lexical Features in Coreference Resolution: To be Used With Caution
Nafise Sadat Moosavi, Michael Strube
Lexical features are a major source of information in state-of-the-art coreference resolvers. Lexical features implicitly model some of the linguistic phenomena at a fine granulari…
Use Generalized Representations, But Do Not Forget Surface Features
Nafise Sadat Moosavi, Michael Strube
Only a year ago, all state-of-the-art coreference resolvers were using an extensive amount of surface features. Recently, there was a paradigm shift towards using word embeddings a…