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BMCBI
2006

Lexical adaptation of link grammar to the biomedical sublanguage: a comparative evaluation of three approaches

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Lexical adaptation of link grammar to the biomedical sublanguage: a comparative evaluation of three approaches
Background: 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. Results: In addition to a 45% increase in parsing efficiency, we find that the best approach, incorporating information from a domain part-of-speech tagger, offers a statistically significant 10% relative decrease in error. Conclusion: When available, a high-quality domain part-of-speech tagger is the best solution to unknown word issues in the domain adaptation of a general parser. In the absence of such a resource, surface clues can provide remarkably good coverage and performance when tuned to the d...
Sampo Pyysalo, Tapio Salakoski, Sophie Aubin, Adel
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where BMCBI
Authors Sampo Pyysalo, Tapio Salakoski, Sophie Aubin, Adeline Nazarenko
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