Results 31 to 40 of about 234 (196)
Extractive Multi-Document Summarization: A Review of Progress in the Last Decade
IEEE Access, 2021 With the tremendous growth in the number of electronic documents, it is becoming challenging to manage the volume of information. Much research has focused on automatically summarizing the information available in the documents.
Zakia Jalil +2 more
doaj +1 more source
COVERAGE, DIVERSITY, AND COHERENCE OPTIMIZATION FOR MULTI-DOCUMENT SUMMARIZATION
Jurnal Ilmu Komputer dan Informasi, 2015 A great summarization on multi-document with similar topics can help users to get useful in¬for¬ma¬tion. A good summary must have an extensive coverage, minimum redundancy (high diversity), and smooth connection among sentences (high coherence ...
Khoirul Umam +4 more
doaj +1 more source
Subtopic-driven Multi-Document Summarization [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 In multi-document summarization, a set of documents to be summarized is assumed to be on the same topic, known as the underlying topic in this paper. That is, the underlying topic can be collectively represented by all the documents in the set. Meanwhile, different documents may cover various different subtopics and the same subtopic can be across ...
Xin Zheng +3 more
openaire +1 more source
Automatic Multi Document Summarization Approaches [PDF]
Journal of Computer Science, 2012 Problem statement: Text summarization can be of different nature ranging from indicative summary that identifies the topics of the document to informative summary which is meant to represent the concise description of the original document, providing an idea of what the whole content of document is all about.Approach: Single document summary seems to ...
openaire +2 more sources
IEEE Access, 2020 Automatic related work generation is a new challenge in multi-document scientific summarization focusing on refining a related work section for a given scientific paper.
Pancheng Wang +4 more
doaj +1 more source
Can Anaphora Resolution Improve Extractive Query-Focused Multi-Document Summarization?
IEEE Access, 2023 Query-Focused Multi-Document Summarization (QF-MDS) is the task of automatically generating a summary from a collection of documents that answers a specific user’s query.
Salima Lamsiyah +2 more
doaj +1 more source
Multi-document Biography Summarization
, 2005 In this paper we describe a biography summarization system using sentence classification and ideas from information retrieval. Although the individual techniques are not new, assembling and applying them to generate multi-document biographies is new. Our system was evaluated in DUC2004.
Zhou, Liang +2 more
openaire +2 more sources
Solving Multi-Document Summarization as an Orienteering Problem
Algorithms, 2018 With advances in information technology, people face the problem of dealing with tremendous amounts of information and need ways to save time and effort by summarizing the most important and relevant information.
Asma Al-Saleh, Mohamed El Bachir Menai
doaj +1 more source
Automatic summarization of scientific articles: A survey
Journal of King Saud University: Computer and Information Sciences, 2022 The scientific research process generally starts with the examination of the state of the art, which may involve a vast number of publications. Automatically summarizing scientific articles would help researchers in their investigation by speeding up the
Nouf Ibrahim Altmami +1 more
doaj +1 more source
Query-Based Extractive Multi-Document Summarization Using Paraphrasing and Textual Entailment [PDF]
مدیریت مهندسی و رایانش نرم, 2020 One of the most common problems with computer networks is the amount of information in these networks. Meanwhile searching and getting inform about content of textual document, as the most widespread forms of information on such networks, is difficult ...
Ali Naserasadi
doaj +1 more source