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Titlebook: CCKS 2022 - Evaluation Track; 7th China Conference Ningyu Zhang,Meng Wang,Shumin Deng Conference proceedings 2022 The Editor(s) (if applica

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书目名称CCKS 2022 - Evaluation Track
副标题7th China Conference
编辑Ningyu Zhang,Meng Wang,Shumin Deng
视频videohttp://file.papertrans.cn/221/220232/220232.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: CCKS 2022 - Evaluation Track; 7th China Conference Ningyu Zhang,Meng Wang,Shumin Deng Conference proceedings 2022 The Editor(s) (if applica
描述This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, which took place in Qinhuangdao, China, in August 2022. .The 25 full papers presented in this volume were carefully reviewed and selected from 42 submissions. CCKS technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs..
出版日期Conference proceedings 2022
关键词artificial intelligence; computational linguistics; computer systems; computer vision; data mining; graph
版次1
doihttps://doi.org/10.1007/978-981-19-8300-9
isbn_softcover978-981-19-8299-6
isbn_ebook978-981-19-8300-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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A Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions, span from the given context. However, in practice, the answer to a question may exist in multiple spans. Besides, multiple answers to a question may be of different granularity and hierarchically related to each other. In this paper, we propose a simple but effective pipeline to solve the hierarchi
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A Pipeline-Based Multimodal Military Event Argument Extraction Framework,The task is to match the textual information extracted from the text corpus with the visual information from images for event argument extraction. For this aim, we introduce a pipeline-based multimodal information extraction framework consisted of three models. The first one is a global pointer mode
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Cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers,ution consists of Data Analysis and Processing, Condition-Answer Extraction, Post-extraction Processing, Condition-Answer Relation Classification, and Post-classification Processing. The rule-based post-extraction and Post-classification Processing modules consist of seven cascaded modules. Because
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