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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Information Extraction Customizer
verfasst von : Ralph Grishman, Yifan He
Erschienen in: Text, Speech and Dialogue
Verlag: Springer International Publishing
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When an information extraction system is applied to a new task or domain, we must specify the classes of entities and relations to be extracted. This is best done by a subject matter expert, who may have little training in NLP. To meet this need, we have developed a toolset which is able to analyze a corpus and aid the user in building the specifications of the entity and relation types.