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An Efficient Method based on Lexical Chains for Automatic Text Summarization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 144 - Number 1 |
| Year of Publication: 2016 |
| Authors: Shweta Saxena, Akash Saxena |
10.5120/ijca2016910104
|
Shweta Saxena, Akash Saxena . An Efficient Method based on Lexical Chains for Automatic Text Summarization. International Journal of Computer Applications. 144, 1 ( Jun 2016), 47-52. DOI=10.5120/ijca2016910104
Abstract
Automatic Text Summarization is an interesting topic for research. Still it is growing on. Increment of the data is exponentially growing on and it becomes too much difficult to find out the correct or relevant data in huge amount of data. So it becomes important for researchers to use it for efficient retrieval of information. Hence Text Summarization plays an important role for this problem. Summarization gives the short version for the text document which contains the main context of the document. Summarization can be classified into two categories: Extractive and Abstractive. This paper presents the extractive summary using lexical chaining approach. Lexical chains are created by using Knowledge based database i.e. Wordnet. This paper compares results with the traditional methods and gives better results.
References
- Luhn, H.P. 1958. The automatic creation of literature abstracts. IBM Journal of Research and Development, 2, pp.159–165.
- Edmondson, H.P. 1969. New methods in automatic extracting. Journal of the ACM, 16(2), pp. 264–285.
- Halliday and Hasan (1995). Cohesion in English London: Longman. pp. 591-595.
- Morris, J., and Hirst, G (1997) Lexical cohesion computed by Thesaural relations as an Indicator of the structure of text. Journal Computational Linguistics archive Volume 17 Issue1, March 1991 pp. 21-48.
- Hirst, G., and St-Onge, D. (1998) Lexical chains as representation of context for the Detection and correction of malapropism. In Fellbaum, C., ed., Wordnet: An Electronic Lexical Database and Some of Its Applications. Cambridge, MA: The MIT Press: 1998 pp. 305-332.
- Regina Barzilay and Michael Elhadad. (1997) Using Lexical Chains for Text Summarization, in Proceedings of the Intelligent Scalable Text Summarization Workshop (ISTS'97), ACL, Madrid, 1997. pp. 111-121
- Gregory Silber, Kathleen F. McCoy. (2002) efficiently computed lexical chains as an Intermediate representation for automatic text Summarization Journal Computational Linguistics - Summarization archive Volume 28 Issue 4, December 2002 pp. 487-496.
- Olena Medelyan, (2007) Computing Lexical Chains with Graph Clustering, Published in: Proceeding ACL '07 Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop. pp. 85-90.
- Chris Biemann (2011) Chinese Whispers - An Efficient Graph Clustering Algorithm and its Application to Natural Language Processing Problems. , Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing, page 73-80. Stroudsburg, PA, USA, Association for Computational Linguistics.
- Michel Galley, Kathleen McKeown, (2003) Improving Word Sense Disambiguation in Lexical Chaining. Published in Proceedings of18th International Joint Conference on Artificial Intelligence (IJCAI03).
- Junpeng Chen, Juan Liu, Wei Yu, Peng Wu (2009), Combining Lexical Stability and Improved Lexical Chain for Unsupervised Word Sense Disambiguation Published in: Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on (Volume: 1) pp.430-433
- Pankaj gupta, Vijay Shankar, Ishant Vats, (2011) Summarizing text by ranking text Units according to shallow linguistic features. Published in: Advanced Communication Technology (ICACT), 2011, 13th International Conference .pp. 1620-1625
- A.R.Kulkarni, S.S.Apte, (2014), an automatic text summarization using lexical cohesion and correlation of sentences. IJRET: International Journal of Research in Engineering and Technology Volume: 03 Issue: 06 pp. 285-292.
- M. Naveen Kumar, R.Suresh, 2012 Emotion Detectionusing Lexical Chains. International Journal of ComputerApplications 57(4): pp.1-4.
- Joe Carthy, Michael Sherwood- Smith (2002) , Lexical Chains for topic tracking, published in: Systems, Man andCybernetics, 2002 IEEE International Conference on Volume:7. pp.1-5.
- Lin, C.-Y., (2004), ROUGE: Recall-oriented understudy for gisting evaluation. In Proceedings of the ACL-04, 2004 (pp. 74-81)
- Jayarajan, D., Deodhare D., and Ravindran, B. “Lexical Chains as Document Feature”, in 3rd International Joint Conference on Natural Language Processing, Hyderabad, January 2008. Volume-1, pp. 111-117.
- I. V. Mashechkin, M. I. Petrovskiy, D. S. Popov, and D. V. Tsarev, "Automatic text summarization using latent semantic analysis," In Programming and Computer Software, vol. 37, pp. 299–305, 2011
- Sulabh Katiyar, Samir Kr. Borgohain, “ A novel approach towards automatic text summarization Using Lexical chain”, in International Journal on Recent and Innovation Trends in Computing and Communication, ISSN-2321-8169, volume 3 issue 8 pp. 5115-5121, August 2015.
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