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A novel contextual topic model for multi-document summarization
2015
Expert systems with applications
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With the aim of seeking a new method to help justify the importance of similar sentences in multi-document summarizations, this study proposes a novel approach based on recent hierarchical Bayesian topic ...
How to alleviate this problem is the main concern of research on natural language processing, especially multi-document summarization. ...
user's query in the settings of the multi-document summarization. ...
doi:10.1016/j.eswa.2014.09.015
fatcat:tujvax72tngvfg6cqjazcsyphq
Searching web documents using a summarization approach
2016
International Journal of Web Information Systems
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Our proposed query-based summarizer, Q Sum , is unique based on its searching approach. ...
We propose to develop a query-based summarizer, called Q Sum in solving the existing problems of web search engines which use titles and abstracts in capturing the contents of retrieved documents. ...
If such a system generates a single summary on multiple documents, it is a query-based multi-document summarization system. ...
doi:10.1108/ijwis-11-2015-0039
fatcat:asuhed3s4rglnd3txocosd4f5u
A query-based multi-document sentiment summarizer
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
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summaries that satisfy user's information needs, and (ii) ranks among state-ofthe-art query-based multi-document sentiment summarizers. ...
Empirical studies conducted using the TAC-08 dataset, a well-known benchmark dataset for assessing query-based multi-document sentiment summarizers, show that QM SS (i) is highly effective in generating ...
[2] propose a query-based approach based on Fast-Sum, which is a multi-document summarizer, for summarizing sentiment documents in the legal domain. ...
doi:10.1145/2063576.2063731
dblp:conf/cikm/PeraQN11
fatcat:znl2smdqv5fflip3j5vnbbzzmy
Query-Chain Focused Summarization
2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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We present an algorithm for Query-Chain Summarization based on a new LDA topic model variant. Evaluation indicates the algorithm improves on strong baselines. ...
Update summarization is a form of multidocument summarization where a document set must be summarized in the context of other documents assumed to be known. ...
We thank the reviewers for extremely helpful advice. ...
doi:10.3115/v1/p14-1086
dblp:conf/acl/BaumelCE14
fatcat:hzgwmkklxve4zlqvwk7run7fji
Multi-document Summarization via Deep Learning Techniques: A Survey
2022
ACM Computing Surveys
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Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. ...
Our survey, the first of its kind, systematically overviews the recent deep learning based MDS models. ...
We also summarize nine network design strategies based on our extensive studies of the current models. • We discuss the open issues of deep learning based multi-document summarization and identify the ...
doi:10.1145/3529754
fatcat:r4lngnzrgjbfziazokpd2c5s44
Iterative Feedback Based Manifold-Ranking for Update Summary
2008
POLIBITS Research Journal on Computer Science and Computer Engineering With Applications
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Index Terms-Temporal multi-document summarization, update summary, iterative feedback based manifold-ranking. ...
The topic set is extended by using the summarization of previous timeslices and the first sentences of documents in current timeslice. ...
Temporal multi-document summarization (TMDS) is the natural extension of multi-document summarization, which captures evolving information of a single topic over time. ...
doi:10.17562/pb-37-1
fatcat:l2httreyobeffbtpmwoij2i7ly
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
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As a framework for extractive summarization, sentence regression has achieved state-of-the-art performance in several widely-used practical systems. e most challenging task within the sentence regression ...
We propose a neural network model, Contextual Relation-based Summarization (CRSum), to take advantage of contextual relations among sentences so as to improve the performance of sentence regression. ...
2007 datasets are for query-focused multi-document summarization.
2 we evaluate the e ectiveness of contextual features on the DUC 2005, 2006 and 2007 query-focused multi-document summarization datasets ...
doi:10.1145/3077136.3080792
dblp:conf/sigir/RenCRWMR17
fatcat:s6tsgpkvz5c7lczqcwbwmdrvxq
A Review on Automatic Text Summarization Approaches
2016
Journal of Computer Science
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Furthermore, this paper also reviews the significant efforts which have been put in studies concerning sentence extraction, domain specific summarization and multi document summarization and provides the ...
In addition, the advantages and limitations concerning the approaches commonly used for text summarization are also highlighted in this study. ...
The different dimensions of text summarization can be generally categorized based on its input type (single or multi document), purpose (generic, domain specific, or query-based) and output type (extractive ...
doi:10.3844/jcssp.2016.178.190
fatcat:rlydvxlgljgajacrg2be7sckdm
Multi-topic based Query-oriented Summarization
[chapter]
2009
Proceedings of the 2009 SIAM International Conference on Data Mining
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In this paper, we try to break limitations of the existing methods and study a new setup of the problem of multi-topic based query-oriented summarization. ...
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information related to a query. ...
In this paper, we aim to conduct a thorough investigation on the problem of multi-topic based query-oriented summarization. ...
doi:10.1137/1.9781611972795.98
dblp:conf/sdm/TangYC09
fatcat:5uhahbdm5bhilaeg5r3ikodyye
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
[article]
2021
arXiv
pre-print
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Manifold ranking has been successfully applied in query-oriented multi-document summarization. ...
Our method not only utilizes the information of the query term itself and the knowledge base WordNet to expand it by synonyms, but also uses the information of the document set itself to expand the query ...
(Xiong and Ji, 2016) proposed a hypergraph based vertex-reinforced random walk framework for multi-document summarization. ...
arXiv:2108.01441v1
fatcat:yttoi55dobeknddpq7qciuithe
Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization
2020
Findings of the Association for Computational Linguistics: EMNLP 2020
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Other Versions
The full architecture benefits from the complementary potential of document-query matching and the novel document transformation approach based on summarization along PM facets. ...
Component (a) directly generates a matching score of a candidate document for a query. ...
a document is relevant to the given query (using a BERT multi-sentence setup); (b). a keyword extraction model which spots tokens in a document that are likely to be seen in PM related queries; and (c ...
doi:10.18653/v1/2020.findings-emnlp.304
pmid:34541588
pmcid:PMC8444997
fatcat:elsv2diavfe7vawrnwoohyagqm
Re-ranking Summaries Based on Cross-Document Information Extraction
[chapter]
2010
Lecture Notes in Computer Science
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This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). ...
Experiments have shown our integration methods can significantly improve a high-performing multi-document summarization system, according to the ROUGE-2 and ROUGE-SU4 metrics (7.38%% relative improvement ...
Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on. ...
doi:10.1007/978-3-642-17187-1_42
fatcat:ccwrcmavtvf2tfpc255pl47uvq
Modern Multi-Document Text Summarization Techniques
2020
International journal of recent technology and engineering
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Over the last decade, the focus has shifted from single document to multi-document summarization and despite significant progress in the domain, challenges such as sentence ordering and fluency remain. ...
In this paper, a thorough comparison of the several multi-document text summarization techniques such as Machine Learning based, Graph based, Game-Theory based and more has been presented. ...
II
Abstractive Multi-Document Summarization This approach involves the process of producing an eyecatching sentence or a short summary by constructing a few novel sentences that capture the noticeable ...
doi:10.35940/ijrte.a1945.059120
fatcat:evc3i323wjhlxkavul3clysaha
Generating event storylines from microblogs
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
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In this paper we explore the problem of generating storylines from microblogs for user input queries. This problem is challenging due to the sparse, dynamic and social nature of microblogs. ...
Given a query of an ongoing event, we propose to sketch the real-time storyline of the event by a two-level solution. ...
Multi-Document Summarization using Submodularity (MSSF) [18] : a multi-document summarization framework based on Submodularity; 10. ...
doi:10.1145/2396761.2396787
dblp:conf/cikm/LinLLWCL12
fatcat:7w2rmpvdpbgevfe27um7i25yyu
Summarization of discussion groups
2001
Proceedings of the tenth international conference on Information and knowledge management - CIKM'01
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We have incorporated this algorithm into a Web-based application called IDS (Interactive Discussion Summarizer). ...
Our system combines sentences extracted from individual postings into variable-length summaries by utilizing the hierarchical discourse context provided by discussion threads. ...
Discussion groups present two important challenges for an extraction-based summarization system. ...
doi:10.1145/502585.502678
dblp:conf/cikm/FarrellFS01
fatcat:hnkq3qxgqbglfmyudiaesdy4zu
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