J Biomed Inform - Lexical patterns, features and knowledge resources for coreference resolution in clinical notes.

Tópicos

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Resumo

Generation of entity coreference chains provides a means to extract linked narrative events from clinical notes, but despite being a well-researched topic in natural language processing, general-purpose coreference tools perform poorly on clinical texts. This paper presents a knowledge-centric and pattern-based approach to resolving coreference across a wide variety of clinical records from two corpora (Ontology Development and Information Extraction (ODIE) and i2b2/VA), and describes a method for generating coreference chains using progressively pruned linked lists that reduces the search space and facilitates evaluation by a number of metrics. Independent evaluation results give an F-measure for each corpus of 79.2% and 87.5%, respectively. A baseline of blind coreference of mentions of the same class gives F-measures of 65.3% and 51.9% respectively. For the ODIE corpus, recall is significantly improved over the baseline (p<0.05) but overall there was no statistically significant improvement in F-measure (p>0.05). For the i2b2/VA corpus, recall, precision, and F-measure are significantly improved over the baseline (p<0.05). Overall, our approach offers performance at least as good as human annotators and greatly increased performance over general-purpose tools. The system uses a number of open-source components that are available to download.

Resumo Limpo

generat entiti corefer chain provid mean extract link narrat event clinic note despit wellresearch topic natur languag process generalpurpos corefer tool perform poor clinic text paper present knowledgecentr patternbas approach resolv corefer across wide varieti clinic record two corpora ontolog develop inform extract odi ibva describ method generat corefer chain use progress prune link list reduc search space facilit evalu number metric independ evalu result give fmeasur corpus respect baselin blind corefer mention class give fmeasur respect odi corpus recal signific improv baselin p overal statist signific improv fmeasur p ibva corpus recal precis fmeasur signific improv baselin p overal approach offer perform least good human annot great increas perform generalpurpos tool system use number opensourc compon avail download

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