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检索条件"主题词=multidocument summarization"
19 条 记 录,以下是1-10 订阅
Two-Phase multidocument summarization Through Content-Attention-Based Subtopic Detection
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IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 2021年 第6期8卷 1379-1392页
作者: Dong, Luobing Satpute, Meghana N. Wu, Weili Du, Ding-Zhu Xidian Univ Sch Comp Sci & Technol Xian 710071 Peoples R China Univ Texas Dallas Dept Comp Sci Richardson TX 75080 USA
multidocument summarization problem deals with extracting main information and ideas from a set of related documents. Solution to this problem is to find an extraction strategy that aims at finding a small subset of s... 详细信息
来源: 评论
The combination of term relations analysis and weighted frequent itemset model for multidocument summarization
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COMPUTATIONAL INTELLIGENCE 2020年 第2期36卷 783-812页
作者: Chaghari, Arash Feizi-Derakhshi, Mohammad-Reza Balafar, Mohammad-Ali Univ Tabriz Dept Elect & Comp Engn Tabriz Iran
Nowadays, it is necessary that users have access to information in a concise form without losing any critical information. Document summarization is an automatic process of generating a short form from a document. In ... 详细信息
来源: 评论
multidocument Aspect Classification for Aspect-Based Abstractive summarization
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IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 2024年 第1期11卷 1483-1492页
作者: Wang, Ye Zhou, Yingmin Wang, Mengzhu Chen, Zhenghan Cai, Zhiping Chen, Junyang Leung, Victor C. M. Natl Univ Def Technol Coll Comp Changsha 410073 Peoples R China Baidu Inc Beijing 100080 Peoples R China Peking Univ Sch Software & Microelect Beijing 100091 Peoples R China Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518061 Peoples R China
multidocument aspect-based summarization (AspSumm) aims to generate focused summaries based on the target aspects from a cluster of relevant documents. Generating such summaries can better satisfy readers' specifi... 详细信息
来源: 评论
An ontology-based information extraction and summarization of multiple news articles
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International Journal of Information Technology (Singapore) 2020年 第2期12卷 547-557页
作者: Venkatachalam, Swathilakshmi Subbiah, Lakshmana Pandian Rajendiran, Regan Venkatachalam, Nithya Department of Computer Science and Engineering Sri Manakula Vinayagar Engineering College Puducherry India Department of Computer Science and Engineering Pondicherry Engineering College Puducherry India Department of Computer Science and Engineering University College of Engineering Anna University Villupuram India Department of Computer Science and Engineering University College of Engineering Anna University Panruti India
Ontology based information extraction and summarization process in news content retrieved the news based on the user query. The user query should be of any context about the news content. So that, users need not be aw... 详细信息
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A Hybrid Ensemble Word Embedding based Classification Model for Multi-document summarization Process on Large Multi-domain Document Sets
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2021年 第9期12卷 141-152页
作者: Devi, S. Anjali Sivakumar, S. Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Guntur 522502 Andhra Pradesh India
Contextual text feature extraction and classification play a vital role in the multi-document summarization process. Natural language processing (NLP) is one of the essential text mining tools which is used to preproc... 详细信息
来源: 评论
multidocument summarization of Engineering Papers Based on Macro- and Microstructure
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JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING 2011年 第1期11卷 11008-11008页
作者: Zhan, Jiaming Liu, Ying Loh, Han Tong Natl Univ Singapore Singapore 117576 Singapore
This paper focuses on automatic summarization of multiple engineering papers. A summarization approach based on documents' macro-and microstructure has been proposed. The macrostructure consists of a list of ranke... 详细信息
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Query Focused Multi-document summarization Based on Five-Layered Graph and Universal Paraphrastic Embeddings  6th
Query Focused Multi-document Summarization Based on Five-Lay...
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6th Computer Science On-Line Conference (CSOC)
作者: Canhasi, Ercan Gjirafa Inc 28A Prishtine Kosovo
Query focused multi-document summarization is a process of automatic query biased text compression of a document set. Lately, the graph-based and ranking methods have been intensively attracted the researchers from ex... 详细信息
来源: 评论
Unsupervised Query-Focused Multi-Document summarization using the Cross Entropy Method  17
Unsupervised Query-Focused Multi-Document Summarization usin...
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40th International ACM SIGIR conference on research and development in Information Retrieval
作者: Feigenblat, Guy Roitman, Haggai Boni, Odellia Konopnicki, David IBM Res Haifa IL-31905 Haifa Israel
We present a novel unsupervised query-focused multi-document summarization approach. To this end, we generate a summary by extracting a subset of sentences using the Cross-Entropy (CE) Method. The proposed approach is... 详细信息
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Integrating Document Clustering and multidocument summarization
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ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 2011年 第3期5卷 14-14页
作者: Wang, Dingding Zhu, Shenghuo Li, Tao Chi, Yun Gong, Yihong Florida Int Univ Sch Comp Sci Miami FL 33199 USA NEC Labs Amer Inc Cupertino CA 95014 USA
Document understanding techniques such as document clustering and multidocument summarization have been receiving much attention recently. Current document clustering methods usually represent the given collection of ... 详细信息
来源: 评论
The Two-Stage Unsupervised Approach to multidocument summarization
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AUTOMATIC CONTROL AND COMPUTER SCIENCES 2009年 第5期43卷 276-284页
作者: Alyguliyev, R. M. Natl Acad Sci Azerbaijan Inst Informat Technol Ul F Agaeva 9 AZ-1141 Baku Azerbaijan
This paper suggests an approach for creating a summary for a set of documents with revealing the topics and extracting informative sentences. The topics are determined through clustering of sentences, and the informat... 详细信息
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