%0 Conference Paper %1 sauri2005 %A Saur\'ı, Roser %A Knippen, Robert %A Verhagen, Marc %A Pustejovsky, James %B Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing %C Vancouver, British Columbia, Canada %D 2005 %I Association for Computational Linguistics %K TimeML corpus_timebank event_extraction opensource pattern_matching wordnet %P 700--707 %T Evita: A Robust Event Recognizer For QA Systems %U http://www.aclweb.org/anthology/H/H05/H05-1088

@inproceedings{sauri2005, added-at = {2009-10-22T15:19:23.000+0200}, address = {Vancouver, British Columbia, Canada}, author = {Saur\'{\i}, Roser and Knippen, Robert and Verhagen, Marc and Pustejovsky, James}, biburl = {https://www.bibsonomy.org/bibtex/2334d6cc681113f52a75043cffdaf66c8/jnothman}, booktitle = {Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing}, description = {System to recognise TimeML events, not specific event types. Determines anchor and grammatical attributes. Events defined as "those event-denoting expressions that participate in the narrative of a given document and which can be temporally ordered," be they dynamic or static; VB, NN or AD. Combines linguistic, statistical, pattern-based and knowledge-based components. Trigger detection (after head and polarity/modal markers are separated): - verbs: some heads (e.g. copula) are rejected. (It seems that otherwise, an event is assumed? "Lexical lookup" isn't elaborated!) - noun: head is event if it falls under one of 25 WordNet subtrees, with Bayesian WSD in conflict. - adj: only those annotated in TimeBank, when appearing as predicative complements. Attributes: - tense, aspect, non-finite morphology: 140 rules mapping verbal phrases to these features; - modality, polarity: basic patterns within chunk; - semantic class (state, occurrence, reporting, intention, perception): by majority class for word from training. Only look for within-chunk attributes, so chunks are first clustered: triggered pattern matching. Overall F-measure 80.12%, comparable to inter-annotator agreement. Attribute accuracy 86-98%, but may just reflect major classes. Part of TARSQI toolkit focusing on time relations in text.}, interhash = {0ed8b09ac939e973a960016761d7f40b}, intrahash = {334d6cc681113f52a75043cffdaf66c8}, keywords = {TimeML corpus_timebank event_extraction opensource pattern_matching wordnet}, month = {October}, pages = {700--707}, publisher = {Association for Computational Linguistics}, timestamp = {2009-10-22T15:19:23.000+0200}, title = {Evita: A Robust Event Recognizer For QA Systems}, url = {http://www.aclweb.org/anthology/H/H05/H05-1088}, year = 2005 }