Abstract
This paper describes a new architecture for event detection from text documents. The proposed system correctly identifies the sentences that describe an event of interest to extract its participants. It follows an unsupervised method for identifying the lexical chains from the raw sentences taken as a training data. The lexical chain constructed using Wordnet lexicon is then used for identifying event mention. The significance of the proposed system is it is the first system that applies lexical chain for event identification. The entire architecture is divided into three tasks namely, natural language pre-processing, lexical chain construction and event detection.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cunningham, H.: Information Extraction. Automatic. Encyclopaedia of Language and Linguistics, 665–677 (2005)
McCracken, N., Ozgencil, N.E., Symonenko, S.: Combining Techniques for Event Extraction in Summary Reports. In: AAAI 2006 Workshop Event Extraction and Synthesis, pp. 7–11 (2006)
ACE (Automatic Content Extraction) English Annotation Guidelines for Events Version 5.4.3 2005.07.01 Linguistic Data Consortium, http://www.ldc.upenn.edu
Abuleil, S.: Using NLP techniques for Tagging Events in Arabic Text. In: 19th IEEE International Conference on Tools with AI, pp. 440–443. IEEE Press, Los Alamitos (2007)
Xu, F., Uszkoreit, H., Li, H.: Automatic Event and Relation Detection with Seeds of Varying Complexity. In: AAAI 2006 Workshop Event Extraction and Synthesis, Boston, pp. 491–498 (2006)
Aone, C., Ramos-Santacruz, M.: REES: a large-scale relation and event extraction system. In: Sixth Conference on Applied Natural Language Processing, pp. 76–83. Morgan Kaufmann Publishers Inc., Washington (2000)
David, A.: Stages of event extraction. In: COLING/ACL 2006 Workshop on Annotating and Reasoning about Time and Events, ACL, pp. 1–8 (2006)
Morris, J., Hirst, G.: Lexical cohesion computed by thesaural relations as an indicator of the structure of text. Computational Linguistics 17(1), 21–48 (1991)
Haliday, M., Hansan, R.: Cohesion in English. Longman, London (1976)
Naughton, M., Stokes, M., Carthy, J.: Investigating Statistical Techniques for sentence level event classification. In: Coling, pp. 617–624 (2008)
Hatch, P., Stokes, N., Carthy, J.: Lexical chains for web based retrieval of breaking news. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds.) AH 2000. LNCS, vol. 1892, pp. 327–330. Springer, Heidelberg (2000)
Brunn, M., Chali, Y., Pinchak, C.J.: Text Summarization Using Lexical Chains. In: Proceedings of the Document Understanding Conference, NIST, pp. 135–140 (2001)
Miller, G.: Wordnet: A lexical database for English. Communications of the ACM 38(11), 39–41 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
S., S., Thakur, R.S., Arock, M. (2010). Event Detection Using Lexical Chain. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds) Advances in Natural Language Processing. NLP 2010. Lecture Notes in Computer Science(), vol 6233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14770-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-14770-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14769-2
Online ISBN: 978-3-642-14770-8
eBook Packages: Computer ScienceComputer Science (R0)