Using lexical chains for keyword extraction

Information Processing and Management

Volumn 43, Issue 6, 2007, Pages 1705-1714

  Ercan, Gonenc ^a   Cicekli, Ilyas ^a  

^a BILKENT UNIVERSITY   (Turkey)

Author keywords

Keyword extraction; Lexical chains; Machine learning; Natural language processing

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

KEYWORD EXTRACTION; LEXICAL CHAINS;

TEXT PROCESSING;

EID: 34547930508     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2007.01.015     Document Type: Article

References (18)

1. Angheluta, R., De Busser, R., & Moens M.-F. (2002). The use of topic segmentation for automatic summarization. In U. Hahn, D. Harman (Eds.), Proceedings of the workshop on automatic summarization 2002, Philadelphia, PA, USA (pp. 66-70).
2. Barzilay, R. & Elhadad, M. (1997). Using lexical chains for text summarization. In Proceedings of the ACL'97/EACL'97 workshop on intelligent scalable text summarization, Madrid, Spain.
3. Barzilay, R. (1997). Lexical chains for summarization. Masters Thesis, Ben Gurion University of Negev.
4. Ercan, G. (2006). Automated text summarization and keyphrase extraction. Masters Thesis, Bilkent University.
5. In: Fellbaum C. (Ed). WordNet: an electronic lexical database (1998), MIT Press
6. Frank E., Paytner E., Witten I.H., Gutwin C., and Nevill-Manning C.G. Domain specific keyphrase extraction. Proceedings of the sixteenth international joint conference on artificial intelligence (1999), Morgan Kaufmann 667-668
7. Galley, M., & McKeown, K. (2003). Improving word sense disambiguation in lexical chaining. In Proceedings of IJCAI, 486-1488.
8. Hulth, A. (2004). Enhancing Linguistically Oriented Automatic Keyword Extraction. In Proceedings of the human language technology conference/North American chapter of the Association for Computational Linguistics Annual Meeting (HLT/NAACL 2004), Boston, May 2004.
9. Kupiec J., Pedersen J.O., and Chen F. A trainable document summarizer. Proceedings of SIGIR'95 (1995), ACM Press 68-73
10. Morris J., and Hirst G. Lexical cohesion computed by thesaural relations as an indicator of the structure of text. Computational Linguistics 17 1 (1991) 21-48
11. Quinlan J.R. C4.5: Programs for machine learning (1993), Morgan Kauffmann
12. Silber, H. G., & McCoy, K. F. (2000). Efficient text summarization using lexical chains. In Proceedings of the 5th international conference on intelligent user interfaces, New Orleans, Louisiana (pp. 252-255).
13. Silber H.G., and McCoy K.F. Efficiently computed lexical chains as an intermediate representation for automatic text summarization. Computational Linguistics 28 4 (2002) 487-496
14. Teufel S., and Moens M. Sentence extraction as a classification task. In: Mani I., and Maybury M.T. (Eds). Proceedings of ACL/EACL97-WS (1997), Madrid, Spain
15. Toutanova, K., & Manning, C. D. (2000). Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In Proceedings of the joint SIGDAT conference on empirical methods in natural language processing and very large Corpora (EMNLP/VLC-2000), Hong Kong (pp. 63-70).
16. Toutanova K., Klein D., Manning C.D., and Singer Y. Feature-rich part-of-speech tagging with a cyclic dependency network. Proceedings of HLT-NAACL (2003), Edmenton, Canada 173-180
17. Turney P. Learning to extract keyphrases from text. Journal of Information Retrieval 2 4 (2000) 303-336
18. Witten, I. H., Paynter, G. W., Frank, E., Gutwin, C., & Nevill-Manning, C. G. (1999). KEA: Practical automatic keyphrase extraction. In Proceedings of DL '99, 12, 254-256.