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Titlebook: Natural Language Processing and Chinese Computing; 10th CCF Internation Lu Wang,Yansong Feng,Ruifang He Conference proceedings 2021 Springe

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书目名称Natural Language Processing and Chinese Computing
副标题10th CCF Internation
编辑Lu Wang,Yansong Feng,Ruifang He
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Natural Language Processing and Chinese Computing; 10th CCF Internation Lu Wang,Yansong Feng,Ruifang He Conference proceedings 2021 Springe
描述This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021..The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability..
出版日期Conference proceedings 2021
关键词artificial intelligence; computational linguistics; data mining; databases; Human-Computer Interaction (
版次1
doihttps://doi.org/10.1007/978-3-030-88483-3
isbn_softcover978-3-030-88482-6
isbn_ebook978-3-030-88483-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

书目名称Natural Language Processing and Chinese Computing影响因子(影响力)




书目名称Natural Language Processing and Chinese Computing影响因子(影响力)学科排名




书目名称Natural Language Processing and Chinese Computing网络公开度




书目名称Natural Language Processing and Chinese Computing网络公开度学科排名




书目名称Natural Language Processing and Chinese Computing被引频次




书目名称Natural Language Processing and Chinese Computing被引频次学科排名




书目名称Natural Language Processing and Chinese Computing年度引用




书目名称Natural Language Processing and Chinese Computing年度引用学科排名




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书目名称Natural Language Processing and Chinese Computing读者反馈学科排名




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Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network works using dependency trees to capture long-range dependencies between event triggers and event arguments. However, not all information in the dependency trees are useful for the EAE task. In this paper, we propose a Distance-Sensitive Graph Convolutional Network (DSGCN) for the EAE task. Our mode
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Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluationion of instances, and ambiguity of the vague instances. To address the above issues, this paper proposes a novel data augmentation method on the TimeBank-Dense (TBD) corpus to distinguish those vague instances, which can provide more evidence to identify temporal relation clearly. Specifically, we a
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Searching Effective Transformer for Seq2Seq Keyphrase Generational Language Processing (NLP). Recently, the Transformer structure with fully-connected self-attention blocks has been widely used in many NLP tasks due to its advantage of parallelism and global context modeling. However, in KG tasks, Transformer-based models can hardly beat the recurrent-based mode
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