New paper on analysis and recognition of negated bio-events


We are pleased to announce the publication of a new journal article that focusses on negated bio-event in biomedical literature.

We have conducted a detailed analysis of three open access bio-event corpora containing negation information (i.e., GENIA Event, BioInfer and BioNLP'09 ST), and have identified the main types of negated bio-events. We have analysed the key aspects of a machine learning solution to the problem of detecting negated events, including selection of negation cues, feature engineering and the choice of learning algorithm. Combining the best solutions for each aspect of the problem, we propose a novel framework for the identification of negated bio-events. We have evaluated our system on each of the three open access corpora mentioned above. The performance of the system significantly surpasses the best results previously reported on the BioNLP'09 ST corpus, and achieves even better results on the GENIA Event and BioInfer corpora, both of which contain more varied and complex events.

Raheel Nawaz, Paul Thompson and Sophia Ananiadou (2012) Negated bio-events: analysis and identification. BMC Bioinformatics 14:14

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