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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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| Pubblicato in: | Big Data |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Mary Ann Liebert, Inc.
2017
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| Soggetti: | |
| Accesso online: | 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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