| Title: | A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method |
| Authors: | Mitkov, Ruslan
Evans, Richard
Orasan, Constantin |
| Citation: | In: Gelbukh, A. (Ed), Computational Linguistics and Intelligent Text Processing: Third International Conference on Intelligent Text Processing and Computational Linguistics: 168-186 |
| Publisher: | Springer |
| Issue Date: | 2002 |
| URI: | http://hdl.handle.net/2436/27793 |
| Additional Links: | http://clg.wlv.ac.uk/papers/ciclingAR19.pdf |
| Abstract: | This paper describes a new, advanced and completely revamped version of Mitkov's knowledge-poor approach to pronoun resolution. In contrast to most anaphora resolution approaches, the new system, referred to as MARS, operates in fully automatic mode. It benefits from purpose-built programs for identifying occurrences of non-nominal anaphora (including pleonastic pronouns) and for recognition of animacy, and employs genetic algorithms to achieve optimal performance. The paper features extensive evaluation and discusses important evaluation issues in anaphora resolution. |
| Type: | Book chapter |
| Language: | en |
| ISBN: | 3540432191 |
| Appears in Collections: | Computational Linguistics Group
Computational Linguistics Group
|
| Files in This Item: |
There are no files associated with this item. |
|
All Items in WIRE are protected by copyright, with all rights reserved, unless otherwise indicated.
Del.icio.us
LinkedIn
Citeulike
Connotea
Facebook
Stumble it!
