Results 21 to 30 of about 156,586 (309)
Multi-document summarization by sentence extraction [PDF]
NAACL-ANLP 2000 Workshop on Automatic Summarization -, 2000 This paper discusses a text extraction approach to multi-document summarization that builds on single-document summarization methods by using additional, available information about the document set as a whole and the relationships between the documents.
Goldstein, Jade +3 more
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TGSum: Build Tweet Guided Multi-Document Summarization Dataset [PDF]
, 2015 The development of summarization research has been significantly hampered by the costly acquisition of reference summaries. This paper proposes an effective way to automatically collect large scales of news-related multi-document summaries with reference
Cao, Ziqiang +5 more
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Multi-Document Summarization using CS-ABC Optimization Algorithm
EAI Endorsed Transactions on Energy Web, 2020 In revolve handle to the information excess, the dramatic boost up documents, on the WWW, show the way of the accessibility of various credentials through the equal subject with conception.
K. Chandra Kumar, Sudhakar Nagalla
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Multi-topic multi-document summarization [PDF]
Proceedings of the 18th conference on Computational linguistics -, 2000 Summarization of multiple documents featuring multiple topics is discussed. The example treated here consists of fifty articles about the Peru hostage incident for December 1996 through April 1997. They include a lot of topics such as opening, negotiation, ending, and so on.
Utiyama Masao, Hasida Kôiti
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Multi-document extractive text summarization based on firefly algorithm
Journal of King Saud University: Computer and Information Sciences, 2022 Extracting relevant information from a large amount of data is a challenging task. Automatic text summarization is a potential solution for obtaining this information. In this paper, a nature inspired swarm intelligence-based algorithm viz.
Minakshi Tomer, Manoj Kumar
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Document-level Event Extraction Based on Multi-granularity Entity Heterogeneous Graph [PDF]
Jisuanji kexue, 2023 Document-level event extraction is an event extraction task for long texts with multiple sentences.Existing document-level event extraction studies generally divide event extraction into three sub-tasks:candidate entity extraction,event detection and ...
ZHANG Hu, ZHANG Guangjun
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Template-Based Headline Generator for Multiple Documents
IEEE Access, 2022 In this paper, we develop a neural multi-document summarization model, named MuD2H (refers to Multi-Document to Headline) to generate an attractive and customized headline from a set of product descriptions.
Yun-Chien Tseng +4 more
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Cover Coefficient-Based Multi-document Summarization [PDF]
, 2009 In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences to determine representative sentences.
Ercan, Gönenç, Can, Fazlı
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An evolutionary framework for multi document summarization using Cuckoo search approach: MDSCSA
Applied Computing and Informatics, 2018 In today's scenario the rate of growth of information is expanding exponentially in the World Wide Web. As a result, extracting valid and useful information from a huge data has become a challenging issue. Recently text summarization is recognized as one
Rasmita Rautray +1 more
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MEXN: Multi-Stage Extraction Network for Patent Document Classification
Applied Sciences, 2020 The patent document has different content for each paragraph, and the length of the document is also very long. Moreover, patent documents are classified hierarchically as multi-labels.
Juho Bai, Inwook Shim, Seog Park
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