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Anaphora Resolution: To What Extent Does It Help NLP Applications?

TitleAnaphora Resolution: To What Extent Does It Help NLP Applications?
Publication TypeBook Chapter
Year of Publication2007
AuthorsMitkov, R, Evans, R, Orăsan, C, Ha, LA, Pekar, V
EditorBranco, A
Book TitleAnaphora: Analysis, Algorithms and Applications
Series TitleLecture Notes in Computer Science
Volume4410
Pagination179-190
PublisherSpringer
CityBerlin / Heidelberg
ISBN Number978-3-540-71411-8
Abstract

Papers discussing anaphora resolution algorithms or systems usually focus on the intrinsic evaluation of the algorithm/system and not on the issue of extrinsic evaluation. In the context of anaphora resolution, extrinsic evaluation concerns the impact of an anaphora resolution module on a larger NLP system of which it is part. In this paper we explore the extent to which the well-known anaphora resolution system MARS can improve the performance of three NLP applications: text summarisation, term extraction and text categorisation. On the basis of the results so far we conclude that the deployment of anaphora resolution has a positive albeit limited impact.

URLhttp://clg.wlv.ac.uk/papers/mitkov-DAARC-07.pdf
DOI10.1007/978-3-540-71412-5_13