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This article is cited in 2 scientific papers (total in 2 papers)
Artificial Intelligence, Intelligent Systems, Neural Networks
Up-to-date methods of the modality analysis in natural language texts
S. R. Egikian Ailamazyan Program Systems Institute of Russian Academy of Sciences
Abstract:
The article reviews the up-to-date methods of recognizing and annotating modal characteristics in the natural language texts.
Widespread views are presented in their diversity, including those concerned with the extended modality and those aiming at the differentiation between moralized and unmodalized information. (In Russian).
Key words and phrases:
NLP, natural language processing, natural langage text mining, information extractiong, event extraction, modality, evidentiality, certainty, speculation.
Received: 05.07.2017 Accepted: 28.09.2017
Citation:
S. R. Egikian, “Up-to-date methods of the modality analysis in natural language texts”, Program Systems: Theory and Applications, 8:3 (2017), 133–167
Linking options:
https://www.mathnet.ru/eng/ps270 https://www.mathnet.ru/eng/ps/v8/i3/p133
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Abstract page: | 189 | Full-text PDF : | 105 | References: | 41 |
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