Title | Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems |
Publication Type | Journal Article |
Year of Publication | 2001 |
Authors | Mitkov R |
Journal | Applied Artificial Intelligence |
Volume | 15 |
Pagination | 253-276 |
Abstract | The article argues that recall and precision are imperfect as measures for robust anaphora resolution algorithms, and proposes instead a success rate for anaphora resolution algorithms and for anaphora resolution systems separately. The article also proposes a package of evaluation measures and tasks for anaphora resolution: it is believed that these newly added tasks which have been carried out on Mitkov's (1998) knowledge-poor approach, provide a better, more comprehensive picture of the performance of anaphora resolution algorithms or systems. Finally, the ongoing work on the development of a consistent evaluation environment for anaphora resolution is outlined. |
URL | http://clg.wlv.ac.uk/papers/Lancaster2000.PDF |
DOI | 10.1080/08839510151063235 |
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