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Program Systems: Theory and Applications, 2016, Volume 7, Issue 1, Pages 135–152
(Mi ps208)
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Artificial Intelligence, Intelligent Systems, Neural Networks
Peculiarities of fine-grained factual information extraction from text
I. V. Trofimov Ailamazyan Program Systems Institute of Russian Academy of Sciences
Abstract:
The paper states the problem of fine-grained factual information extraction form text. The author reveals some additional issues that arise from such formulation of the task. (In Russian).
Key words and phrases:
natural language processing, information extraction, MUC, frame, implicit information in text.
Received: 30.12.2015 Accepted: 15.03.2016
Citation:
I. V. Trofimov, “Peculiarities of fine-grained factual information extraction from text”, Program Systems: Theory and Applications, 7:1 (2016), 135–152
Linking options:
https://www.mathnet.ru/eng/ps208 https://www.mathnet.ru/eng/ps/v7/i1/p135
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Statistics & downloads: |
Abstract page: | 258 | Full-text PDF : | 45 | References: | 25 |
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