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The complexity of sentences characteristic to biomedical articles poses achallenge to natural language parsers, which are typically trained onlarge-scale corpora of non-technical text. We propose a text simplificationprocess, bioSimplify, that seeks to reduce the complexity of sentences inbiomedical abstracts in order to improve the performance of syntactic parserson the processed sentences. Syntactic parsing is typically one of the firststeps in a text mining pipeline. Thus, any improvement in performance wouldhave a ripple effect over all processing steps. We evaluated our method using acorpus of biomedical sentences annotated with syntactic links. Our empiricalresults show an improvement of 2.90% for the Charniak-McClosky parser and of4.23% for the Link Grammar parser when processing simplified sentences ratherthan the original sentences in the corpus.

Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text