Title Pronominal Anaphora Resolution for Unrestricted Text
Author(s) Anna Kupść (1), Teruko Mitamura (2), Benjamin Van Durme (2), Eric Nyberg (2)

(1) Polish Academy of Sciences; (2) Carnegie Mellon University

Session O31-EW
Abstract The paper presents an anaphora resolution algorithm for unrestricted text. In particular, we examine portability of a knowledge-based approach of (Mitamura et al. 2002), proposed for a domain-specific task. We obtain up to 70% accuracy on unrestricted text, which is a significant improvement (almost 20%) over a baseline we set for general text. As the overall results leave much room for improvement, we provide a detailed error analysis and investigate possible enhancements.
Keyword(s) Anaphora resolution, natural language processing, text understanding
Language(s) English
Full Paper 671.pdf