Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems

The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propos...

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Bibliografiska uppgifter
I publikationen:Big Data
Huvudupphovsmän: Huang, Lifu, May, Jonathan, Pan, Xiaoman, Ji, Heng, Ren, Xiang, Han, Jiawei, Zhao, Lin, Hendler, James A.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Mary Ann Liebert, Inc. 2017
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Original Articles
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5374868/
https://ncbi.nlm.nih.gov/pubmed/28328252
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/big.2017.0012
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