2008 ChallengesInPronounResolutionForBiomedText
Jump to navigation
Jump to search
- (Nguyen et al., 2008) ⇒ Ngan Nguyen, Jin-Dong Kim, and Jun'ichi Tsujii. (2008). “Challenges in Pronoun Resolution System for Biomedical Text.” In: Proceedings of 6th Language Resources Evaluation Conference (LREC 2008).
Subject Headings:
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.
Cited By
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
,