SUMMARY : Session O32-EW Coreference, Summarisation and Evaluation

 

Title Coreference Resolution with and without Linguistic Knowledge
Authors O. Uryupina
Abstract State-of-the-art statistical approaches to the Coreference Resolution task rely on sophisticated modeling, but very few (10-20) simple features. In this paper we propose to extend the standard feature set substantially, incorporating more linguistic knowledge. To investigate the usability of linguistically motivated features, we evaluate our system for a variety of machine learners on the standard dataset (MUC-7) with the traditional learning set-up.
Keywords Anaphora, Coreference
Full paper Coreference Resolution with and without Linguistic Knowledge