Titlebook: Artificial Intelligence and Natural Language; 7th International Co Dmitry Ustalov,Andrey Filchenkov,Jan Žižka Conference proceedings 2018 S

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Encyclopedia of Heroism Studiest the sentence beginning or after a comma. Secondly, we build multi-word tokens that are based on these patterns. Thirdly, we build vector representations for the multi-word tokens that match these patterns. Our experiments based on distributional semantics give quite reasonable list of the candidat

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/162258.jpg

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pulmonary-edema

https://doi.org/10.1007/978-3-030-01204-5artificial intelligence; crowdsourcing; discourse, dialogue and pragmatics; information extraction; info

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musicologist

Jie Wang,Wenye Wang,Xiaogang Wanglem still remains fairly untouched for Russian. In this article we present a novel approach to Disambiguation to Wikipedia applied to the Russian language. Inspired by the Neural Machine Translation task our method implements encoder-decoder neural network architecture. It translates text tokens int

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Encrypted Network Traffic AnalysisRussian text. We introduce the custom-created training dataset, describe the feature engineering techniques, and discuss the results. The following set of features is applied: distributional semantic features, lexical and morphosyntactic co-occurrence frequencies, flag words, quotation marks, and se

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