| 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 |