EventPro is a module for event detection and classification in a text. It annotates events following the TimeML specifications and classifies them in one of the seven TimeML classes (REPORTING, PERCEPTION, I_ACTION, etc.). As an example, the word "annunciato" (announced) is an event of type REPORTING expressed by a verb, while the word "tagli" (cuts) is an event of type OCCURRENCE expressed by a noun. Both event recognition and classification are based on a statistical classifier. EventPro is available for Italian and English with pre-trained models in the news domain.

Example


Algorithm: EventPro uses Yamcha for feature extraction and SVM as a classification algorithm.

Resources: EVENTI (Italian) and TempEval 3 (English).

Evaluation benchmark: EVENTI at Evalita 2014 and QA-TempEval 2015 (English).

References:

• Paramita Mirza and Anne-Lyse Minard. FBK-HLT-time: A complete Italian Temporal Processing System for EVENTI-Evalita 2014. In Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014 & the Fourth International Workshop EVALITA 2014, Pisa (Italy), 11th December 2014.
• Paramita Mirza and Anne-Lyse Minard. HLT-FBK: A complete Temporal Processing System for QA TempEval. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver (Colorado, USA), June 4-5, 2015.