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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
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A Probabilistic Annotation Model for Crowdsourcing Coreference
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Distributed Document and Phrase Co-embeddings for Descriptive Clustering
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Biomedical event detection using rules, conditional random fields and parse tree distances
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Abstract:
This paper reports on a system developed for the BioNLP'09 shared task on detection and characterisation of biomedical events. Event triggers and types were recognised using a conditional random field classifier and a set of rules, while event participants were identified using a rule-based system that relied on relative distances between candidate entities and the trigger in the associated parse tree. The results on previously unseen test data were encouraging: for non-regulatory events, the F-score was almost 50% (with precision above 60%), with the overall F-score of around 30% (49% precision). The performance on more complex regulatory events was poor (F-measure of 7%). Among the 24 teams submitting the test results, our results were ranked 12th for the overall F-score and 8th for the F-score of non-regulation events.
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URL: http://eprints.gla.ac.uk/122455/
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Coreference Resolution in Biomedical Texts: a Machine Learning Approach
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Coreference Resolution in Biomedical Texts: a Machine Learning Approach ...
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Natural Language Processing – IJCNLP 2004 : First International Joint Conference, Hainan Island, China, March 22-24, 2004, Revised Selected Papers
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UB Frankfurt Linguistik
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