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- aggregation classification "C1".
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- aggregation creator person.
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- aggregation date "2009".
- aggregation format "application/pdf".
- aggregation hasFormat 663813.bibtex.
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- aggregation isPartOf urn:isbn:9781932432442.
- aggregation language "eng".
- aggregation publisher "Association for Computational Linguistics (ACL)".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Science General".
- aggregation title "Analyzing text in search of bio-molecular events: a high-precision machine learning framework".
- aggregation abstract "The BioNLP'09 Shared Task on Event Extraction is a challenge which concerns the detection of bio-molecular events from text. In this paper, we present a detailed account of the challenges encountered during the construction of a machine learning framework for participation in this task. We have focused our work mainly around the filtering of false positives, creating a high-precision extraction method. We have tested techniques such as SVMs, feature selection and various filters for data pre- and post-processing, and report on the influence on performance for each of them. To detect negation and speculation in text, we describe a custom-made rule-based system which is simple in design, but effective in performance.".
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- aggregation endPage "136".
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