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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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發(fā)表于 2025-3-21 16:55:04 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Natural Language Processing and Information Systems
副標題27th International C
編輯Paolo Rosso,Valerio Basile,Farid Meziane
視頻videohttp://file.papertrans.cn/662/661838/661838.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面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
關鍵詞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
The information of publication is updating

書目名稱Natural Language Processing and Information Systems影響因子(影響力)




書目名稱Natural Language Processing and Information Systems影響因子(影響力)學科排名




書目名稱Natural Language Processing and Information Systems網絡公開度




書目名稱Natural Language Processing and Information Systems網絡公開度學科排名




書目名稱Natural Language Processing and Information Systems被引頻次




書目名稱Natural Language Processing and Information Systems被引頻次學科排名




書目名稱Natural Language Processing and Information Systems年度引用




書目名稱Natural Language Processing and Information Systems年度引用學科排名




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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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