Computer Science – Computation and Language
Scientific paper
2010-01-24
Proc. of the NAACL-HLT 2009, Boulder, USA, June 2009
Computer Science
Computation and Language
4 pages, In Proc. of the NAACL-HLT 2009, Boulder, USA, June
Scientific paper
The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technical text. We propose a text simplification process, bioSimplify, that seeks to reduce the complexity of sentences in biomedical abstracts in order to improve the performance of syntactic parsers on the processed sentences. Syntactic parsing is typically one of the first steps in a text mining pipeline. Thus, any improvement in performance would have a ripple effect over all processing steps. We evaluated our method using a corpus of biomedical sentences annotated with syntactic links. Our empirical results show an improvement of 2.90% for the Charniak-McClosky parser and of 4.23% for the Link Grammar parser when processing simplified sentences rather than the original sentences in the corpus.
Baral Chitta
Gonzalez Graciela
Hakenberg Jorg
Jonnalagadda Siddhartha
Tari Luis
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