Information retrieval by text summarization for an Indian regional language

Information retrieval by text summarization for an Indian regional language

The Information Extraction is a method for filtering information from large volumes of text. Information Extraction is a limited task than full text understanding. In full text understanding, we aspire to represent in an explicit fashion about all the information in a text. In contrast, in Informati...

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Bibliographische Detailangaben
Hauptverfasser: Kallimani, J S, Srinivasa, K G, Eswara Reddy, B
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Data mining
Encoding
Humans
Indexing
Information Extraction
Semantics
Stemming
Tagging
Text Summarization
UTF-8
Online-Zugang:Volltext bestellen
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Beschreibung
Zusammenfassung:The Information Extraction is a method for filtering information from large volumes of text. Information Extraction is a limited task than full text understanding. In full text understanding, we aspire to represent in an explicit fashion about all the information in a text. In contrast, in Information Extraction, we delimit in advance, as part of the specification of the task and the semantic range of the output. In this paper, a model for summarization from large documents using a novel approach has been proposed. Extending the work for an Indian regional language (Kannada) and various analyses of results were discussed.
DOI:10.1109/NLPKE.2010.5587764