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

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发表于 2025-3-21 16:03:32 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence and Natural Language
期刊简称7th International Co
影响因子2023Dmitry Ustalov,Andrey Filchenkov,Jan Žižka
视频video
学科分类Communications in Computer and Information Science
图书封面Titlebook: Artificial Intelligence and Natural Language; 7th International Co Dmitry Ustalov,Andrey Filchenkov,Jan Žižka Conference proceedings 2018 S
影响因子.This book constitutes the refereed proceedings of the 7.th. Conference on Artificial Intelligence and Natural Language, AINL 2018, held in St. Petersburg, Russia, in October 2018. The 19 revised full papers were carefully reviewed and selected from 56 submissions and cover a wide range of topics, including morphology and word-level semantics, sentence and discourse representations, corpus linguistics, language resources, and social interaction analysis. .
Pindex Conference proceedings 2018
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发表于 2025-3-22 00:19:01 | 显示全部楼层
A Multi-feature Classifier for Verbal Metaphor Identification in Russian Textsntence length. We combine these features into models of varying complexity; the results of the experiment demonstrate that fairly simple models based on lexical, morphosyntactic and semantic features are able to produce competitive results.
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Encyclopedia of Heroism Studiesnducted on a corpus of Russian encyclopaedic texts on linguistics. The results justify applying ESA for this task, and we state that though it works a little inferior to the method based on a search engine in terms of labels’ quality, it can be used as a reasonable alternative because it exhibits two advantages that the baseline method lacks.
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https://doi.org/10.1007/978-3-031-48129-1 The obtained data on the acoustic features of the speech of TD children can be used as a normative basis in artificial intelligence systems for teaching children, for creating alternative communication systems for children with atypical development, for automatic recognition of child speech.
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Explicit Semantic Analysis as a Means for Topic Labellingnducted on a corpus of Russian encyclopaedic texts on linguistics. The results justify applying ESA for this task, and we state that though it works a little inferior to the method based on a search engine in terms of labels’ quality, it can be used as a reasonable alternative because it exhibits two advantages that the baseline method lacks.
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