The week's pick
Random Articles
Reseach Article
Automatic Text Summarization for Oriya Language
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 132 - Number 1 |
| Year of Publication: 2015 |
| Authors: Sitanath Biswas, Sweta Acharya, Sujata Dash |
10.5120/ijca2015907258
|
Sitanath Biswas, Sweta Acharya, Sujata Dash . Automatic Text Summarization for Oriya Language. International Journal of Computer Applications. 132, 1 ( December 2015), 19-26. DOI=10.5120/ijca2015907258
Abstract
With the coming of the information revolution, electronic documents are becoming a principle media of business and academic information. Thousands and thousands of electronic documents are produced and made available on the internet each day. In order to fully utilizing these on-line documents effectively, it is crucial to be able to extract the gist of these documents. Having a Text Summarization system would thus be immensely useful in serving this need. The objective of automatic text summarization is to extract essential sentences that cover almost all the concepts of a document so that users are able to comprehend the ideas the documents tries to address by simply reading through the corresponding summary. In this paper we investigate some novel technique to develop an effective automatic Oriya text summarizer. These techniques can efficiently and effectively save users’ time while summarizing a particular text.
References
- Edmundson, H. P. 1969. ‘New methods in automatic extraction’. Journal of the ACM,16(2),264–85. Also in Mani and Maybury (1999)
- Liu, H. and E.H. Hovy. Automated Learning of Cue Phrases for Text Summarization.
- Robust Text Processing in Automated Information Retrieval-Strzalkowski-1994, ACM DBLP.
- C-Y Lin and E.Hovy.1997.IdentifyTopics by Position,Preceedings of the 5th Conference on applied Natural Language Processing,March.
- H.P.Luhn.1995.the Automatic Creation of Literature Abstracts.IBM Journal of Research and Development PP 159-165.
- Hovy, E. and Lin, C. Y. 1997. Automated text summarization in Summarist. In Proceedings of ACL'97 Workshop on Intelligent, Scalable Text Summarisation, Madrid, Spain.
- Kupiec, J., Pedersen, J. & Chen, F. (1995). A trainable document summarizer. Proceedings of the 18th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 68-73). New York: ACM Press.
- Hovy, E., & Lin, C. -Y. (1999). Automated text summarization in Summarist. In I. Mani and M. Maybury (Eds.), Advances in automatic text summarization (pp. 81-94). Cambridge, MA: MIT Press.
- 2000 Dalianis, H. SweSum - A Text Summarizer for Swedish, Technical report TRITA-NA-P0015, IPLab-174, NADA, KTH, October 2000, html
- Lin, C-Y. 1997. Robust Automated Topic Identification. Ph.D. dissertation, University of Southern California.
- Strzalkowski, T. et al., 1998. In I. Mani and M. Maybury (eds), Advances in Automated Text Summarization. MIT Press.
- Lin, C-Y. 1997. Robust Automated Topic Identification. Ph.D. dissertation, University of Southern California.
Index Terms
Keywords