2007 AnaphoraResToWhatExtDoesItHelp

• (Mitkov et al., 2007) ⇒ Ruslan Mitkov, Richard Evans, Constantin Orasan, Le An Ha, Viktor Pekar. (2007). “Anaphora Resolution: To What Extent Does It Help NLP Applications?" In: DAARC 2007:.

Subject Headings: Anaphora Resolution Task.

Cited By

~6 http://scholar.google.com/scholar?cites=3598621105928942091

Quotes

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 [1] can improve the performance of three NLP applications: text summarization, 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.

References

,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 AnaphoraResToWhatExtDoesItHelp	Ruslan Mitkov Richard Evans Constantin Orasan Le An Ha Viktor Pekar			Anaphora Resolution: To What Extent Does It Help NLP Applications?			http://clg.wlv.ac.uk/papers/mitkov-DAARC-07.pdf