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Satisfying information needs with multi-document summaries
2007
Information Processing & Management
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Generating summaries that meet the information needs of a user relies on (1) several forms of question decomposition; (2) different summarization approaches; and (3) textual inference for combining the ...
This novel framework for summarization has the advantage of producing highly responsive summaries, as indicated by the evaluation results. ...
While summaries can provide users with valuable information about the range of information contained in a corpus, multi-document summaries are often of limited value in an information-gathering environment ...
doi:10.1016/j.ipm.2007.01.004
fatcat:uujzhptylfci3i4kdjknvn7bpa
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. ...
Even though QM SS relies on a trained method for identifying users' information needs specified in their queries, QM SS does not require any training for performing the summarization task. ...
that satisfy users' information needs. ...
doi:10.1145/2063576.2063731
dblp:conf/cikm/PeraQN11
fatcat:znl2smdqv5fflip3j5vnbbzzmy
Improving Extractive Multi-Document Text Summarization Through Multi-Objective Optimization
2018
Iraqi Journal of Science
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This coverage model is coupled with a proposed diversity model and defined as a Multi-Objective Optimization (MOO) problem. ...
Multi-document summarization is an optimization problem demanding optimization of more than one objective function simultaneously. ...
The two fields which have focused on the effective processing of large amounts of data and extraction of information with high quality and relevance to the user's needs are Data Mining (DM) and Information ...
doi:10.24996/ijs.2018.59.4b.19
fatcat:uzub557y5bhqbgggbgtipr67ou
Do summaries help?
2005
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05
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articles, Newsblaster multi-document summaries, and human summaries. ...
Our results show that, in comparison to source documents only, the quality of reports assembled using Newsblaster summaries was significantly better and user satisfaction was higher with both Newsblaster ...
ACKNOWLEDGEMENTS We would like to thank Andrew Rosenberg for his help with the statistical analysis in an early stage of the evaluation. ...
doi:10.1145/1076034.1076072
dblp:conf/sigir/McKeownPENH05
fatcat:abf3cgweoncszdvykkzomsu62y
An empirical study of information synthesis tasks
2004
Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04
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contained in a set of relevant documents, in order to obtain a comprehensive, non redundant report that satisfies the information need. ...
Two main results are presented: a) the creation of an Information Synthesis testbed with 72 reports manually generated by nine subjects for eight complex topics with 100 relevant documents each; and b) ...
Lin for his assistance with the ROUGE measure. Thanks also to our volunteers for their valuable cooperation. ...
doi:10.3115/1218955.1218982
dblp:conf/acl/AmigoGPPV04
fatcat:2bdg53hbqvbkrgpzd2dplhhpp4
ACM – Attribute Conditioning for Abstractive Multi Document Summarization
[article]
2022
arXiv
pre-print
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A challenge that arises with multi document summarization which is not prevalent in single document summarization is the need to effectively summarize multiple documents that might have conflicting polarity ...
Each of these approaches has primarily focused on the issues of multi document information synthesis and attention based approaches to extract salient information. ...
Despite the advances made with these approaches, a significant challenge remains in multi document summarization with respect to how to deal with contradictory information present in the multiple source ...
arXiv:2205.03978v1
fatcat:cabaz3tzj5arjfcea7v2bcs7aa
Keyword based Automatic Summarization of HTML Documents
2015
International Journal of Computer Applications
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Resulting summary report allows individual users or professional information consumers, to quickly familiarize themselves with information that is contained in a large cluster of documents. ...
Multi-document summarization creates information reports that are both concise and comprehensive. ...
INTRODUCTION Information retrieval (IR) can be stated as finding material i.e. documents of an unstructured nature basically text that satisfies an information needed within large collections. ...
doi:10.5120/ijca2015906421
fatcat:47jbknwrwjd7bpp6izxsrn6i34
Automatic Tailored Multi-Paper Summarization based on Rhetorical Document Profile and Summary Specification
2012
Journal of ICT Research and Applications
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In this paper, we extend Teufel's tailored summary to deal with multi information needs. ...
Our TMPS extracts Rhetorical Document Profile (RDP) from each paper and presents a Plan Language (BPLAN) is introduced as a formalization of Teufel' plan and used to represent representation of user information ...
In this paper, we extend Teufel's tailored summary to deal with multi-papers and more flexible representation of user information needs. ...
doi:10.5614/itbj.ict.2012.6.3.4
fatcat:2l2f3ltumfbc3ph33gtwehcyqa
Multi-Document Information Consolidation (Dagstuhl Seminar 19182)
2019
Dagstuhl Reports
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and visualize multi-document repositories for decision support; and 4) how to do information validation on multi-document repositories. ...
This report documents the program and the outcomes of Dagstuhl Seminar 19182 "Multi-Document Information Consolidation". ...
We argue that quality extractive summaries should contain informative content so that they can be used as document surrogates to answer important questions, thereby satisfying users' information needs. ...
doi:10.4230/dagrep.9.4.124
dblp:journals/dagstuhl-reports/DaganGRS19
fatcat:lej5rn6i4vhphjun6hw4uj4sra
MULTI-DOCUMENT SUMMARIZATION BASED ON SENTENCE CLUSTERING IMPROVED USING TOPIC WORDS
2014
JUTI: Jurnal Ilmiah Teknologi Informasi
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Therefore a method to collect these information into a simple summary is needed. ...
Among a number of sub-tasks involved in multi-document summarization including sentence extraction, topic detection, representative sentences extraction, and sentence ordering. ...
Many of these news have same contextual content with other news, and made information redundant. Because of this problem a system for collecting and summarizing these texts is needed. ...
doi:10.12962/j24068535.v12i2.a317
fatcat:abpzvq6jhbfxveaj3u4z77avwm
Query Snowball: A Co-occurrence-based Approach to Multi-document Summarization for Question Answering
2012
IPSJ Online Transactions
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We propose a new method for query-oriented extractive multi-document summarization. ...
To enrich the information need representation of a given query, we build a co-occurrence graph to obtain words that augment the original query terms. ...
In particular, query-oriented multi-document summarization is useful for helping the user satisfy his information need efficiently by gathering important pieces of information from multiple documents. ...
doi:10.2197/ipsjtrans.5.124
fatcat:i4s6pvqibzcgjf5yopo4r65324
Multi-aspect query summarization by composite query
2012
Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12
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A promising future search scenario should involve: (1) understanding user intents; (2) providing relevant information directly to satisfy searchers' needs, as opposed to relevant pages. ...
Our method outperforms two baseline methods on generating informative summaries. ...
In addition, a list of URLs couldn't directly satisfy user information needs. ...
doi:10.1145/2348283.2348329
dblp:conf/sigir/SongYXLLW12
fatcat:nrwk5oqspzf2xjpk6so3m5a6bu
What Makes a Good Summary?
[chapter]
2009
Computational Methods for Counterterrorism
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In this paper, we report our experiment to study the sensitivity of human and multi-document summarization. We use the DUC 2002 collection for multi-document summarization. ...
Along with research on information retrieval and filtering, text summarization is an effective technique to help intelligent analysts shorten their time to find critical information and make timely decision ...
Thus, for user-centered summarization, an important task is to identify what kind of the details in information needs to be retrieved and kept in the summary to satisfy the specific user interests according ...
doi:10.1007/978-3-642-01141-2_3
fatcat:ok5byri2anaubam7mgfqg436ha
Multi-document Summarization by Information Distance
2009
2009 Ninth IEEE International Conference on Data Mining
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This paper describes a novel approach for multi-document update summarization. The best summary is defined as one of which has the minimal information distance to the entire document set. ...
And the best update summary has the minimal conditional information distance to a document cluster given that a prior document cluster has already been read. ...
The best summary S best should satisfy the constraint as follows: S best = arg min S i D max (B i , S|A) (8) If m = 0 (A = φ), it will be a traditional multi-document summarization problem. ...
doi:10.1109/icdm.2009.107
dblp:conf/icdm/LongHZL09
fatcat:5jfcleuf45exln5msroxb3xesu
Towards Narrative Information Systems
[chapter]
2015
Lecture Notes in Computer Science
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Narrative interfaces promise to improve the user experience of interacting with information systems by adapting a powerful communication concept which also comes natural in human interaction. ...
In this paper, we outline how such a narrative information system which answers queries using elaborate stories can be realized. ...
system to be able to do as there are several different stories from different perspectives that could be told to satisfy a user's information need. ...
doi:10.1007/978-3-319-21042-1_52
fatcat:zvzecavflvfrvglztnxapyspuy
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