Automatic discourse connective detection in biomedical text
نویسندگان
چکیده
منابع مشابه
Automatic discourse connective detection in biomedical text
OBJECTIVE Relation extraction in biomedical text mining systems has largely focused on identifying clause-level relations, but increasing sophistication demands the recognition of relations at discourse level. A first step in identifying discourse relations involves the detection of discourse connectives: words or phrases used in text to express discourse relations. In this study supervised mac...
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The goal of the Penn Discourse Treebank (PDTB) project is to develop a large-scale corpus, annotated with coherence relations marked by discourse connectives. Currently, the primary application of the PDTB annotation has been to news articles. In this study, we tested whether the PDTB guidelines can be adapted to a different genre. We annotated discourse connectives and their arguments in one 4...
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Annotating biomedical text with discourse-level information is a well-studied topic. Several research efforts have annotated textual zones (e.g., sentences or clauses) with information about rhetorical status, whilst other efforts have linked and classified sets of text spans according to the type of discourse relation holding between them. A relatively new approach has involved annotating meta...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2012
ISSN: 1067-5027,1527-974X
DOI: 10.1136/amiajnl-2011-000775