Chinese Computational Linguistics [electronic resource] : 22nd China National Conference, CCL 2023, Harbin, China, August 3–5, 2023, Proceedings /

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 14232Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXII, 466 p. 112 illus., 98 illus. in color. online resourceContent type:

text

Media type:

computer

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online resource

ISBN:

9789819962075

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.35 23

LOC classification:

QA76.9.N38

Online resources:

Click here to access online

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3–5, 2023. The 82 full papers included in this book were carefully reviewed and selected from 278 submissions. They were organized in topical sections as follows: Fundamental Theory and Methods of Computational Linguistics, Information Retrieval, Dialogue and Question Answering, Text Generation, Dialogue and Summarization, Knowledge Graph and Information Extraction, Machine Translation and Multilingual Information Processing, Language Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications. .

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This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3–5, 2023. The 82 full papers included in this book were carefully reviewed and selected from 278 submissions. They were organized in topical sections as follows: Fundamental Theory and Methods of Computational Linguistics, Information Retrieval, Dialogue and Question Answering, Text Generation, Dialogue and Summarization, Knowledge Graph and Information Extraction, Machine Translation and Multilingual Information Processing, Language Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications. .

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