Open AccessJournal Article
Semantic Multi-document Update Summarization Techniques
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This paper proposes two new multi-document summarization techniques that make use of WordNet, a general knowledge source from Princeton University, that are ranked in the middle tier of about 70 systems.Abstract:
As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, efficient retrieval of concise and relevant information is highly desired. In this paper we propose two new multi-document summarization techniques that make use of WordNet, a general knowledge source from Princeton University. We participated in the Text Analysis Conference 2008 update summarization task and ranked in the middle tier of about 70 systems.read more
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Dissertation
Automatic documents summarization using ontology based methodologies
TL;DR: An attempt is made to bridge the gap of machines understanding by proposing a framework backed with knowledge repositories constructed by humans and containing real human concepts.
References
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Journal ArticleDOI
WordNet : an electronic lexical database
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
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TL;DR: TextRank, a graph-based ranking model for text processing, is introduced and it is shown how this model can be successfully used in natural language applications.
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The challenges of automatic summarization
Udo Hahn,Inderjeet Mani +1 more
TL;DR: Researchers are investigating summarization tools and methods that automatically extract or abstract content from a range of information sources, including multimedia, looking at approaches which roughly fall into two categories: knowledge-poor and knowledge-rich.
Proceedings ArticleDOI
Abstraction summarization for managing the biomedical research literature
TL;DR: A semantic abstraction approach to automatic summarization in the biomedical domain relies on a semantic processor that functions as the source interpreter and produces a list of predications, ultimately generating a conceptual condensate for a disorder input topic.
Proceedings ArticleDOI
A Query-Based Medical Information Summarization System Using Ontology Knowledge
Ping Chen,Rakesh M. Verma +1 more
TL;DR: A new user query based text summarization technique that makes use of unified medical language system, an ontology knowledge source from National Library of Medicine, is proposed and shows potential to be used in other information retrieval areas.