2008 ChallengesInPronounResolutionForBiomedText

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Notes

  • This paper covers the topic of pronoun resolution in Biomedical Text.
  • Even though we have not performed this type of resolution in PPLRE we may be asked by reviewers to discuss the topic and this may be a good reference.
  • Also, given Jing Su's challenge (see below) that anaphor resolution reduces the number intersentential relations we will likely visit the topic of anaphor resolution.

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Quotes

Abstract

This paper presents our findings on the feasibility of doing pronoun resolution for biomedical texts, in comparison with conducting pronoun resolution for the newswire domain. In our experiments, we built a simple machine learning-based pronoun resolution system, and evaluated the system on three different corpora: MUC, ACE, and GENIA. Comparative statistics not only reveal the noticeable issues in constructing an effective pronoun resolution system for a new domain, but also provides a comprehensive view of those corpora often used for this task.



References


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 ChallengesInPronounResolutionForBiomedTextJun'ichi Tsujii
Jin-Dong Kim
Ngan Nguyen
Challenges in Pronoun Resolution System for Biomedical TextProceedings of 6th Language Resources Evaluation Conferencehttp://www.textminingcentre.ac.uk/papers/Nguyen LREC 2008.pdf2008