Results 291 to 300 of about 156,586 (309)

Abstractive multi-document summarization

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Abstractive multi-document summarization aims at generating new sentences whose elements originate from different source sentence. It can be achieved via phrase selection and merging approach which aims at constructing new sentences by exploring syntactic units such as fine-grained noun and verb phrase.
N. S. Ranjitha, Jagadish S Kallimani
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Multi-document topic segmentation

Proceedings of the 19th ACM international conference on Information and knowledge management, 2010
Multiple documents describing the same or closely related sets of events are common and often easy to obtain: for example, consider document clusters on a news aggregator site or multiple reviews of the same product or service. Even though each such document discusses a similar set of topics, they provide alternative views or complimentary information ...
Minwoo Jeong, Ivan Titov
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Multi-document Summarizer

2017
In this study, we address the multi-document summarization challenge. We proposed a summarizer application that implements three well-known multi-document summarization techniques; Topic-word summarizer, LexPageRank summarizer and Centroid summarizer. The contribution in this study is demonstrated by proposing a fourth summarization technique that is ...
Hazem Bakkar, Asma Al-Hamad, Mohammed Bakar   +2 more
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Aspect based multi-document summarization

2016 International Conference on Computing, Communication and Automation (ICCCA), 2016
Multi-document summarization is useful when a user deals with a group of heterogeneous documents and wants to compile the important information present in the collection, or there is a group of homogeneous documents, taken out from a large corpus as a result of a query.
Deepak Sahoo, Rakesh Balabantaray, Mridumoni Phukon, Saibali Saikia   +3 more
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Topic-Driven Multi-document Summarization

2010 International Conference on Asian Language Processing, 2010
This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary’s probability distribution over the topics should be consistent with the multi-documents’ probability distribution over the inherent topics. Here, the topics are
Hongling Wang, Guodong Zhou
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Multi-document Text Summarization Tool

2020
In today’s world, there is a massive amount of data being continuously generated every minute. This data can be utilised to gain a large amount of information that can have numerous uses. However, it is difficult to obtain this information because of the speed and volume of data being generated.
Richeeka Bathija, Pranav Agarwal, Rakshith Somanna, G. B. Pallavi   +3 more
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Multi-document arabic text summarisation

2011 3rd Computer Science and Electronic Engineering Conference (CEEC), 2011
In this paper we present our generic extractive Arabic and English multi-document summarisers. We also describe the use of machine translation for evaluating the generated Arabic multi-document summaries using English extractive gold standards. In this work we first address the lack of Arabic multi-document corpora for summarisation and the absence of ...
El-Haj, M., Kruschwitz, U., Fox, C.
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Multi-document summarization systems comparison

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012
This paper compared two multi-document summarization systems we developed. One system used hierarchical sentence clustering algorithm to find the important information, while the other system mainly adopted hierarchical Latent Dirichlet Allocation (hLDA) topic model to obtain the sub-topics of multi-document data.
Lei Li, Wei Heng, Ping'an Liu
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Multi-document summarization via submodularity

Applied Intelligence, 2012
Multi-document summarization is becoming an important issue in the Information Retrieval community. It aims to distill the most important information from a set of documents to generate a compressed summary. Given a set of documents as input, most of existing multi-document summarization approaches utilize different sentence selection techniques to ...
Jingxuan Li, Lei Li, Tao Li
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Event-based Multi-document Summarization

ACM SIGIR Forum, 2016
Daily amount of news reporting real-world events is growing exponentially. At the same time, Organizations are looking for information about current and past events that affects them, such as mergers and acquisitions of companies. The Organizations need to obtain event information in a fast and summarized form to make decisions.
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