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Titlebook: Natural Language Processing and Information Systems; 25th International C Elisabeth Métais,Farid Meziane,Philipp Cimiano Conference proceed

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发表于 2025-3-21 17:15:16 | 显示全部楼层 |阅读模式
书目名称Natural Language Processing and Information Systems
副标题25th International C
编辑Elisabeth Métais,Farid Meziane,Philipp Cimiano
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Natural Language Processing and Information Systems; 25th International C Elisabeth Métais,Farid Meziane,Philipp Cimiano Conference proceed
描述.This book constitutes the refereed proceedings of the 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, held in Saarbrücken, Germany, in June 2020.*..The 15 full papers and 10 short papers were carefully reviewed and selected from 68 submissions. The papers are organized in the following topical sections: semantic analysis; question answering and answer generation; classification; sentiment analysis; personality, affect and emotion; retrieval, conversational agents and multimodal analysis...*The conference was held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2020
关键词artificial intelligence; classification; computational linguistics; computer systems; data mining; databa
版次1
doihttps://doi.org/10.1007/978-3-030-51310-8
isbn_softcover978-3-030-51309-2
isbn_ebook978-3-030-51310-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviewsreviews, we show that the automatically learned patterns outperform the manually created ones. Also the distantly-supervised SVM models are not far behind the pattern-based solutions, showing the usefulness of this approach when the amount of annotated data is limited.
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Analysis and Multilabel Classification of Quebec Court Decisions in the Domain of Housing Lawes of 93.7% and 84.9% in Landlord v. Tenant and Tenant v. Landlord cases respectively. However, with the support of our in-depth analysis, we emphasize that these results should be kept in perspective and that some metrics may not be suitable for evaluating systems in sensitive domains such as housing law.
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CONQUEST: A Framework for Building Template-Based IQA Chatbots for Enterprise Knowledge Graphstilizing the clarification dialog to resolve inconclusive classifications and request mandatory missing parameters. CONQUEST also evolves with question clarification: these cases define question patterns used as new examples for training.
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Enabling Interactive Answering of Procedural Questionsthe alternative paths are created to complete the tree. Conventional tree traversal mechanism provides step by step guidance to complete a task. Efficacy of the proposed mechanism is tested on documents collected from three different domains and test results are presented.
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