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| |  Online-Ressource |
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| Titel: | Natural language processing and Chinese computing |
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| Titelzusatz: | 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021 : procceedings, part 1 |
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| Mitwirkende: | Wang, Lu [HerausgeberIn]  |
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| | Feng, Yansong [HerausgeberIn] |
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| | Hong, Yu [HerausgeberIn] |
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| | He, Ruifang [HerausgeberIn] |
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| Körperschaft: | NLPCC <10., 2021, Tsingtau> [VerfasserIn] |
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| Institutionen: | Zhong guo ji suan ji xue hui [VeranstalterIn] |
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| Verf.angabe: | Lu Wang, Yansong Feng, Yu Hong, Ruifang He (eds.) |
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| Verlagsort: | Cham, Switzerland |
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| Verlag: | Springer |
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| E-Jahr: | 2021 |
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| Jahr: | [2021] |
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| Umfang: | 1 Online-Ressource (xxxvi, 840 Seiten) |
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| Illustrationen: | Illustrationen |
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| Gesamttitel/Reihe: | Lecture notes in computer science ; 13028 : Lecture notes in artificial intelligence |
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| Fussnoten: | Description based on publisher supplied metadata and other sources |
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| ISBN: | 978-3-030-88480-2 |
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| Abstract: | Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Oral - Fundamentals of NLP -- Coreference Resolution: Are the Eliminated Spans Totally Worthless? -- 1 Introduction -- 2 Background -- 3 Coreference Resolution with Enhanced Mention Representation -- 3.1 Mention Detection -- 3.2 Coreference Resolving with Global Spans Perceived -- 4 Model Training -- 5 Experimentation -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 5.3 Analysis on Context-Aware Word Representations -- 5.4 Case Study -- 6 Related Work -- 7 Conclusion -- References -- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network -- 1 Introduction -- 2 Related Work -- 3 Basic Model: MDParser-TS -- 4 Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network -- 4.1 Internal Topic Graph Construction -- 4.2 Interactive Topic Graph Construction -- 4.3 Dependency Graph Convolutional Network -- 4.4 Classifier -- 5 Experimentation -- 5.1 Dataset and Experimental Settings -- 5.2 Baselines -- 5.3 Experimental Results -- 6 Analysis -- 6.1 Analysis on Internal Topic Graph -- 6.2 Analysis on Interactive Topic Graph -- 6.3 Experimentation on English RST-DT -- 7 Conclusion -- References -- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space -- 1 Introduction -- 2 Task Formalization -- 3 Methodology -- 3.1 Word Vector Space O and Sememe Space Os -- 3.2 HowNet in Sememe Space Os -- 3.3 Target Data in Sememe Space Os -- 3.4 Training and Prediction -- 4 Experiment -- 4.1 Datasets -- 4.2 Experiment Settings -- 4.3 Overall Results -- 4.4 Results on Different POS Tags -- 4.5 Results on Different Ambiguity Degrees -- 4.6 Effect of Descending Factor c -- 4.7 Effect of Training Set Ratio -- 4.8 Categorial Sememe Knowledge Base -- 5 Related Work -- 6 Conclusion and Future Work. |
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| URL: | Aggregator: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6749177 |
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| Schlagwörter: | (s)Automatische Sprachanalyse / (s)Maschinelle Übersetzung / (s)Mehrsprachigkeit / (s)Maschinelles Lernen / (s)Chinesisch / (s)Text Mining |
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| Datenträger: | Online-Ressource |
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| Dokumenttyp: | Konferenzschrift |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: NLPCC (10. : 2021 : Tsingtau): Natural language processing and Chinese computing ; Part 1. - Cham, Switzerland : Springer, 2021. - xxxvi, 840 Seiten |
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| Sach-SW: | Electronic books |
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| K10plus-PPN: | 1822909287 |
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| Lokale URL UB: |  Zum Volltext |
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978-3-030-88480-2
Natural language processing and Chinese computing / Wang, Lu [HerausgeberIn]; [2021] (Online-Ressource)
69050264
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