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A summarization system for Chinese news from multiple sources
2003
Journal of the American Society for Information Science and Technology
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For the evaluation, a question answering system (QA system) is proposed to substitute the human assessors. ...
It employs not only named entities and other signatures to cluster news from different sources, but also employs punctuation marks, linking elements, and topic chains to identify the meaningful units ( ...
An Evaluation Model Using Question Answering System
Model Using Question Answering System To improve the QA task and verify the experimental results, a Question Answering system is used to substitute ...
doi:10.1002/asi.10315
fatcat:zdnrhmkax5cnxk2bo6pzp3u2zu
IIIT Hyderabad at TAC 2008
2008
Text Analysis Conference
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QA and Summarization Track, we leveraged on our existing Summarization engine and used a classification based approach to both finding opinionated sentences and also the polarity of the opinions. ...
In the Opinion QA and Summarization Track for the rigid list questions, we have added some additional features to handle opinion expressed in the question. and for the squishy list questions in Opinion ...
Answering Squishy list in TAC08 QA track is some what similar to descriptive type of question answering, So we have decided to use the summarization system we designed for "DUC 07 multidocument summarization ...
dblp:conf/tac/VarmaPKKGSGGRBB08
fatcat:qvzb4p6qhvbwphqvv5wdib4smy
ICTCAS's ICTGrasper at TAC 2008: Summarizing Dynamic Information with Signature Terms Based Content Filtering
2008
Text Analysis Conference
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This paper presents our new, topic-oriented multi-document summarization system used in TAC 2008. ...
To deal with the problem of summarizing changes of the dynamic information with time going, we propose a novel summarization method with signature terms based content filtering. ...
documents to answer a question or a set of questions as posed in a DUC topic. ...
dblp:conf/tac/ZhangCXWZ08
fatcat:xj4l7j4qqvht5f5h5ylphp3zou
Answering Questions from Multiple Documents - the Role of Multi-Document Summarization
2013
Recent Advances in Natural Language Processing
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Now, document graph-based query focused multidocument summarizer is used where question words are used as query. ...
Ongoing research work on Question Answering using multi-document summarization has been described. It has two main sub modules, document retrieval and Multi-document Summarization. ...
NeATS (Lin and Hovy, 2002) selects important content using sentence position, term frequency, topic signature and term clustering. ...
dblp:conf/ranlp/Bhaskar13
fatcat:mjw255widrfkxct2diozlxro2y
Text Summarization Techniques: A Brief Survey
[article]
2017
arXiv
pre-print
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This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. ...
In this review, the main approaches to automatic text summarization are described. ...
Utilizing topic signature words as topic representation was very effective and increased the accuracy of multidocument summarization in the news domain [29] . ...
arXiv:1707.02268v3
fatcat:mq77jgh56ra57jjhf4s5lqq7ie
Tweet Contextualization (Answering Tweet Question) - the Role of Multi-document Summarization
2013
Conference and Labs of the Evaluation Forum
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The Offline multi-document summarization system is based on document graph, clustering and sentence compression. In the Focused IR system, Wikipedia documents are indexed using Lucene with NE field. ...
In our system there are three major sub-systems; i) Offline multi-document summarization, ii) Focused IR and iii) online multi-document Summarization. ...
Starting in 1999, the Text Retrieval Conference (TREC) 1 has sponsored a question-answering track, which evaluates systems that answer factual questions by consulting the documents of the TREC corpus. ...
dblp:conf/clef/BhaskarBB13
fatcat:bdhrsixvhjft3jcitffjjad2f4
Answering complex questions with random walk models
2006
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06
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answer by a Multi-Document Summarization (MDS) system. ...
In our evaluations, we show that access to the decompositions generated using this method can significantly enhance the relevance and comprehensiveness of summarylength answers to complex questions. ...
All these answers are considered separate documents, which are used to produce a multidocument summary as the third answer (MDS) (Answer Summary 3 illustrated in Figure 1 ). ...
doi:10.1145/1148170.1148211
dblp:conf/sigir/HarabagiuLH06
fatcat:pslb7f75uvgh7oim4fzenhgviq
The challenging task of summary evaluation: an overview
2017
Language Resources and Evaluation
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Therefore, a clear up-to-date overview of the evolution and progress of summarization evaluation is provided, giving the reader useful insights into the past, present and latest trends in the automatic ...
To perform an adequate evaluation is of great relevance to ensure that automatic summaries can be useful for the context and/or application they are generated for. ...
Signature terms (also known as topic signatures) are word vectors related to a particular topic. ...
doi:10.1007/s10579-017-9399-2
fatcat:tduxzlv2hfbfvd6evzoxn5xibu
Linguistic challenges in automatic summarization technology
2017
Journal of Computer-Assisted Linguistic Research
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Automatic summarization is a field of Natural Language Processing that is increasingly used in industry today. ...
Summarization technologies are also used for image collection summarization and video summarization, but the scope of this paper will be limited to document summarization. ...
Furthermore, one distinguishes between single and multi-document summarization. Multidocument summarization is specifically useful for information extraction from the web. ...
doi:10.4995/jclr.2017.7787
fatcat:xl2gzccpj5ft7dngtrztrkfrlu
Summarization from medical documents: a survey
2005
Artificial Intelligence in Medicine
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Finally, it presents and discusses the summarization techniques used so far in the medical domain, referring to the corresponding systems and their characteristics. ...
types of summarization techniques. ...
Irene Doura for checking the use of English. ...
doi:10.1016/j.artmed.2004.07.017
pmid:15811783
fatcat:n7u6ji5t2rgkvjktacjf4rdire
Literature Review on Extractive Text Summarization Approaches
2016
International Journal of Computer Applications
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Therefore research community is developing new approaches to for automatic text summarization. Automatic text summarization system creates summary. ...
Summary is shorter text that covers important information from original document. Summary can be created using extractive and abstractive methods. ...
The same problem is with multidocument summarization, because extraction of text is performed on different sources. ...
doi:10.5120/ijca2016912574
fatcat:zwxchjs5wve57jrmgd2nkl4jhm
Topic-sensitive multi-document summarization algorithm
2015
Computer Science and Information Systems
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Latent Dirichlet Allocation (LDA) has been used to generate text corpora topics recently. However, not all the estimated topics are of equal importance or correspond to genuine themes of the domain. ...
Some of the topics can be a collection of irrelevant words or represent insignificant themes. This paper proposed a topic-sensitive algorithm for multi-document summarization. ...
Each set has between 5 and 15 documents, with an average of 10 documents which are produced using data from the TREC disks used in the question-answering track in TREC-9. ...
doi:10.2298/csis140815060n
fatcat:qkeaeycbd5cy7mdmiikwmzyd5y
Summary in context
2006
ACM Transactions on Information Systems
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The use of text summaries in information-seeking research has focused on query-based summaries. ...
Summarizers that focus the summary on a topic or user are "query-based" summaries. ...
ACKNOWLEDGMENTS We would like to thank Kathy McKeown and Hongyan Jing for allowing us to use their TREC summarization data. ...
doi:10.1145/1125857.1125861
fatcat:m5hfl3b6efc2bcum5qj4jtbitq
A Survey of Text Summarization Extractive Techniques
2010
Journal of Emerging Technologies in Web Intelligence
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It uses linguistic methods to examine and interpret the text and then to find the new concepts and expressions to best describe it by generating a new shorter text that conveys the most important information ...
It is very difficult for human beings to manually summarize large documents of text. Text Summarization methods can be classified into extractive and abstractive summarization. ...
It is an extraction-based multidocument summarization system. ...
doi:10.4304/jetwi.2.3.258-268
fatcat:anms2x4aczftdnedejeo2tznwm
Summarizing with Encyclopedic Knowledge
2009
Text Analysis Conference
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This paper presents a topic-driven multidocument summarization approach that relies on linking documents to Wikipedia. ...
The system is trained and developed using the DUC 2005 and 2006 data. It was tested on the DUC 2007 data before deploying it on the update summarization task of TAC 2009. ...
Biadsy et al. (2008) develop an unsupervised multidocument extractive summarization system to produce biographies. ...
dblp:conf/tac/NastaseFM09
fatcat:qvqxsjo5grfh5ipf22cdrfx4wq
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