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Titlebook: Natural Language Processing and Information Systems; 27th International C Paolo Rosso,Valerio Basile,Farid Meziane Conference proceedings 2

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书目名称Natural Language Processing and Information Systems
副标题27th International C
编辑Paolo Rosso,Valerio Basile,Farid Meziane
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Natural Language Processing and Information Systems; 27th International C Paolo Rosso,Valerio Basile,Farid Meziane Conference proceedings 2
描述.This book constitutes the refereed proceedings of the 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, held in Valencia, Spain in June 2022...The 28 full papers and 20 short papers were carefully reviewed and selected from 106 submissions. The papers are organized in the following topical sections: Sentiment Analysis and Social Media; Text Classification; Applications; Argumentation; Information Extraction and Linking; User Profiling; Semantics; Language Resources and Evaluation..
出版日期Conference proceedings 2022
关键词artificial intelligence; computational linguistics; computer systems; correlation analysis; data mining;
版次1
doihttps://doi.org/10.1007/978-3-031-08473-7
isbn_softcover978-3-031-08472-0
isbn_ebook978-3-031-08473-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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书目名称Natural Language Processing and Information Systems影响因子(影响力)




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书目名称Natural Language Processing and Information Systems网络公开度学科排名




书目名称Natural Language Processing and Information Systems被引频次




书目名称Natural Language Processing and Information Systems被引频次学科排名




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书目名称Natural Language Processing and Information Systems年度引用学科排名




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书目名称Natural Language Processing and Information Systems读者反馈学科排名




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Revisiting the Past to Reinvent the Future: Topic Modeling with Single Mode Factorizationobtained using six contemporary techniques are compared with a factorization technique developed in the early sixties and a contemporary adaptation of it based on non-negative matrix factorization. Results on internal and external coherence as well as topic diversity suggest that extracting topics b
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Active Few-Shot Learning with FASLxamples are needed to train models with good quality. This makes it challenging to quickly develop and deploy new models for real world problems and business needs. Few-shot learning and active learning are two lines of research, aimed at tackling this problem. In this work, we combine both lines in
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