Abstract
In this paper, we investigate a semi-supervised method, that is, self-training algorithm in event detection and type recognition. First, we get two kinds of feature vectors of sentences for event detection and type recognition task respectively. Second, we use self-training algorithm to filter the non-event instances and identify type for every event instance. The experimental result on the ACE2005 corpus shows that our model using self-training algorithm can identify the majority of non-event instances and also has a good precision and recall rate in event type recognition.
This work is supported by NSF Grant #60803078.
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
Jiang, J.: An Event IE Pattern Acquisition Method. Computer Engineering 31(15), 96–98 (2005)
Surdeanu, M., Harabagiu, S.: Infrastructure for Open-Domain Information Extraction. In: Proceedings of the Human Language Technology Conference, pp. 325–330 (2002)
Chieu, H.L., Ng, H.T.: A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text. In: Proceedings of the 18th National Conference on Artificial Intelligence, pp. 786–791
Ahn, D.: The stages of event extraction. In: Proceedings of the Workshop on Annotations and Reasoning about Time and Events, Sydney, pp. 1–8 (2006)
Grishman, R., Westbrook, D., Meyers, A.: NYU’s English ACE 2005 System Description. In: Proceeding of ACE 2005 Evaluation Workshop, Washington (2005)
Hardy, H., Kanchakouskaya, V., Strzalkowski, T.: Automatic Event Classification using Surface Text Features. In: Proceeding of AAAI 2006 Workshop on Event Extraction and Synthesis, Boston (2006)
Yu, J., Xiao, X., Fan, X.: Event Information Extraction from Chinese Text Based on Hidden Markov Models. Microelectronics and Computer 24, 92–98 (2007)
Zhao, Y., Qin, B., Che, W., Liu, T.: Research on Chinese Event Extraction. Journal of Chinese Information Processing 22(1), 3–8 (2008)
Naughton, M., Kushmerick, N., Carthy, J.: Event Extraction from Heterogeneous News Sources. In: Proceedings of the AAAI Workshop Event Extraction and Synthesis (2006)
Xu, H., Chen, J., Zhou, C., Lin, R., Yang, X.: Research on Event Type Identification for Chinese Event Extraction. Mind and Computation 4(1), 34–44 (2010)
Pise, N., Kulkarni, P.: A Survey of Semi-supervised Learning Methods. In: 2008 International Conference on computational Intelligence and Security, pp. 30–34 (2008)
Chen, J., Ji, D.: Graph-Based semi-supervised relation extraction. Journal of Software 19, 2843–2853 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, X., Chen, J., Lin, R. (2011). Event Detection and Type Recognition Using Self-training. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-23226-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
eBook Packages: Computer ScienceComputer Science (R0)