Title :
Information retrieval by text summarization for an Indian regional language
Author :
Kallimani, Jagardish S. ; Srinivasa, K.G. ; Reddy, B. Eswara
Author_Institution :
Dept of CSE, MSRIT, Bangalore, India
Abstract :
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.
Keywords :
information retrieval; natural language processing; text analysis; Indian regional language; information retrieval; large documents; text summarization; Data mining; Encoding; Humans; Indexing; Semantics; Tagging; Information Extraction; Stemming; Text Summarization; UTF-8;
Conference_Titel :
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6896-6
DOI :
10.1109/NLPKE.2010.5587764
