Lexical adaptation of link grammar to the biomedical sublanguage: a comparative evaluation of three approaches
Open Access
- 24 November 2006
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 7 (S3) , S2
- https://doi.org/10.1186/1471-2105-7-s3-s2
Abstract
We study the adaptation of Link Grammar Parser to the biomedical sublanguage with a focus on domain terms not found in a general parser lexicon. Using two biomedical corpora, we implement and evaluate three approaches to addressing unknown words: automatic lexicon expansion, the use of morphological clues, and disambiguation using a part-of-speech tagger. We evaluate each approach separately for its effect on parsing performance and consider combinations of these approaches.Keywords
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