J Am Med Inform Assoc - A rule based solution to co-reference resolution in clinical text.

Tópicos

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Resumo

JECTIVE: To build an effective co-reference resolution system tailored to the biomedical domain.METHODS: Experimental materials used in this study were provided by the 2011 i2b2 Natural Language Processing Challenge. The 2011 i2b2 challenge involves co-reference resolution in medical documents. Concept mentions have been annotated in clinical texts, and the mentions that co-refer in each document are linked by co-reference chains. Normally, there are two ways of constructing a system to automatically discoverco-referent links. One is to manually build rules forco-reference resolution; the other is to use machine learning systems to learn automatically from training datasets and then perform the resolution task on testing datasets.RESULTS: The existing co-reference resolution systems are able to find some of the co-referent links; our rule based system performs well, finding the majority of the co-referent links. Our system achieved 89.6% overall performance on multiple medical datasets.CONCLUSIONS: Manually crafted rules based on observation of training data is a valid way to accomplish high performance in this co-reference resolution task for the critical biomedical domain.

Resumo Limpo

jectiv build effect corefer resolut system tailor biomed domainmethod experiment materi use studi provid ib natur languag process challeng ib challeng involv corefer resolut medic document concept mention annot clinic text mention coref document link corefer chain normal two way construct system automat discovercorefer link one manual build rule forcorefer resolut use machin learn system learn automat train dataset perform resolut task test datasetsresult exist corefer resolut system abl find corefer link rule base system perform well find major corefer link system achiev overal perform multipl medic datasetsconclus manual craft rule base observ train data valid way accomplish high perform corefer resolut task critic biomed domain

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