论文信息 - Event Extraction Approach from Texts

Event Extraction Approach from Texts

A new challenge is added to the Natural Language Processing Community; how to analyze the new documents forms resulting from the Web 2.0? We are interested in a particular kind of information which is events. Thus, we propose a generic approach to extract and analyze events from text. We propose an event extraction algorithm with a polynomial complexity O(n). This algorithm is based on developed semantic map of events. We validate the first component of our approach by the development of the "EventEC" system.

Rim Faiz | Aymen Elkhlifi

[1] André Bittar. Annotation des informations temporelles dans des textes en français. , 2008 .

[2] Ewan Klein,et al. Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics , 2000, ACL 2000.

[3] Rim Faiz,et al. Machine Learning Approach for the Automatic Annotation of the Events , 2007, FLAIRS.

[4] Rim Faiz,et al. French-Written Event Extraction Based on Contextual Exploration , 2010, FLAIRS Conference.

[5] Branimir Boguraev,et al. TimeBank-Driven TimeML Analysis , 2005, Annotating, Extracting and Reasoning about Time and Events.

[6] I. Demeure,et al. Systèmes de processus légers: concepts et exemples , 1994 .

[7] Jin-Dong Kim,et al. Building Patterns for Biomedical Event Extraction , 2004 .

[8] Robert Dale,et al. The DANTE Temporal Expression Tagger , 2009, LTC.

[9] Ghassan Mourad. La segmentation de textes par exploration contextuelle automatique, présentation du module SegATex , 2002 .

[10] Ying Chen,et al. Automatic Time Expression Labeling for English and Chinese Text , 2005, CICLing.

[11] James Pustejovsky,et al. TimeML: Robust Specification of Event and Temporal Expressions in Text , 2003, New Directions in Question Answering.