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

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41#
發(fā)表于 2025-3-28 15:51:25 | 只看該作者
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
42#
發(fā)表于 2025-3-28 21:01:10 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/162258.jpg
43#
發(fā)表于 2025-3-28 23:39:42 | 只看該作者
44#
發(fā)表于 2025-3-29 06:59:15 | 只看該作者
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發(fā)表于 2025-3-29 10:00:45 | 只看該作者
46#
發(fā)表于 2025-3-29 11:32:27 | 只看該作者
https://doi.org/10.1007/978-3-030-01204-5artificial intelligence; crowdsourcing; discourse, dialogue and pragmatics; information extraction; info
47#
發(fā)表于 2025-3-29 18:03:05 | 只看該作者
48#
發(fā)表于 2025-3-29 22:00:39 | 只看該作者
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
49#
發(fā)表于 2025-3-30 03:08:20 | 只看該作者
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
50#
發(fā)表于 2025-3-30 05:49:12 | 只看該作者
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