Proceedings ArticleDOI
Tamil Document Summarization Using Semantic Graph Method
M. Banu,C. Karthika,P. Sudarmani,T. V. Geetha +3 more
- Vol. 2, pp 128-134
TLDR
Tamil Document Summarization using sub graph presents a method for extracting sentences from an individual document to serve as a document summary or a pre-cursor to creating a generic document abstract.Abstract:
Document summarization refers to the task of producing shorter version of the original document by selecting important sentences from the text. Tamil Document Summarization using sub graph presents a method for extracting sentences from an individual document to serve as a document summary or a pre-cursor to creating a generic document abstract. Language-Neutral Syntax (LNS), a system of representation for natural language sentences has been used for considering the semantics of the documents. Syntactic analysis of the text that produces a logical form analysis has been applied for each sentence. Subject-Object-Predicate (SOP) triples are extracted from individual sentences to create a semantic graph [2] of the original document and the corresponding human extracted summary. Semantic Normalization is applied to SOP triples to reduce the number of nodes in the semantic graph of the original document. Using the Support Vector Machine (SVM) learning algorithm, a classifier has been trained to identify SOP triples from the document semantic graph that belong to the summary. The classifier is then used for automatic extraction of summaries from the test documents.read more
Citations
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Journal ArticleDOI
A Study on Abstractive Summarization Techniques in Indian Languages
C. Sunitha,A. Jaya,Amal Ganesh +2 more
TL;DR: Here, the various techniques available for abstractive summarization are concentrated on and the limited works currently available in abstractive summary field of Indian languages are explained.
Proceedings ArticleDOI
Text summarization for Malayalam documents — An experience
Rajina Kabeer,Sumam Mary Idicula +1 more
TL;DR: A statistical sentence scoring technique and a semantic graph based technique for text summarization are explained that are effective in developing efficient and effective methods to summarize Malayalam documents.
Proceedings ArticleDOI
A survey of automatic text summarization techniques for Indian and foreign languages
Prachi Shah,Nikita P. Desai +1 more
TL;DR: A survey of text summarization techniques for various Indian and foreign languages like English, European, etc. is presented and an approach for summarizing Hindi text using machine learning technique has been proposed.
Journal ArticleDOI
Accountability of NLP Tools in Text Summarization for Indian Languages
Pradeepika Verma,Anshul Verma +1 more
TL;DR: This paper presents a survey on existing text summarization methods and NLP tools for Indian languages, and discusses about the issues associated with the Indian languages that are the bottlenecks for summarizing Indian language text.
Proceedings ArticleDOI
Text Summarization for Tamil Online Sports News Using NLP
TL;DR: This research work proposes a methodology to address the problem of summarization for Tamil sports news which can automatically create extractive summary for the news data with the use of Natural Language Processing (NLP) and a generic stochastic artificial neural network.
References
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