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Communication Dans Un Congrès Année : 2006

Lexical Adaptation of Link Grammar to the Biomedical Sublanguage: a Comparative Evaluation of Three Approaches

Sampo Pyysalo
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Tapio Salakoski
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Sophie Aubin
Adeline Nazarenko
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Résumé

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. 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 signicant 10% relative decrease in error. The adapted parser is available under an open-source license at http://www.it.utu.fi/biolg.
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Dates et versions

hal-00082533 , version 1 (28-06-2006)

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Sampo Pyysalo, Tapio Salakoski, Sophie Aubin, Adeline Nazarenko. Lexical Adaptation of Link Grammar to the Biomedical Sublanguage: a Comparative Evaluation of Three Approaches. 2006, pp.60-67. ⟨hal-00082533⟩
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