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Titlebook: Computational Linguistics and Intelligent Text Processing; 19th International C Alexander Gelbukh Conference proceedings 2023 Springer Natu

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发表于 2025-3-21 19:26:35 | 显示全部楼层 |阅读模式
书目名称Computational Linguistics and Intelligent Text Processing
副标题19th International C
编辑Alexander Gelbukh
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Linguistics and Intelligent Text Processing; 19th International C Alexander Gelbukh Conference proceedings 2023 Springer Natu
描述The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018..The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others. ..The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and  Text mining. .
出版日期Conference proceedings 2023
关键词artificial intelligence; computational linguistics; computer science; computer systems; data mining; data
版次1
doihttps://doi.org/10.1007/978-3-031-23804-8
isbn_softcover978-3-031-23803-1
isbn_ebook978-3-031-23804-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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https://doi.org/10.1007/978-3-663-04447-5ecessarily correspond to any dictionary senses of the word. To overcome this, we propose a method to find new sense embeddings with known meaning. We term this method refitting, as the new embedding is fitted to model the meaning of a target word in an example sentence. The new lexically refitted em
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https://doi.org/10.1007/978-3-663-04447-5nformation on the web. In many previous studies, human raters check the concordance between text content and evidence-based practice guidelines in order to evaluate information accuracy and completeness. However, human rating cannot be a practical solution, particularly when there is an extremely la
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https://doi.org/10.1007/978-3-663-04532-8Recurrent neural network (RNN) language models are the state-of-the-art language models, but they are notorious for their large size and computation cost. A main source of parameters and computation of RNN language models is embedding matrices. In this paper, we propose a sparse representation-based
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,Strömungstechnische Grundlagen,detection of suicidal intentions of Tunisians through Facebook. Indeed, among our major contributions we can cite: First, the usage of the Facebook social network due to its popularity in Tunisia required the development of a Facebook application to extract data, we also added some components to ach
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