TY - GEN
T1 - ClearTK-TimeML
T2 - 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013
AU - Bethard, Steven
N1 - Funding Information:
Thanks to Philippe Muller for providing the closure-inferred relations. The project described was supported in part by Grant Number R01LM010090 from the National Library Of Medicine. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Library Of Medicine or the National Institutes of Health.
Publisher Copyright:
c 2013 Association for Computational Linguistics
PY - 2013
Y1 - 2013
N2 - The ClearTK-TimeML submission to TempEval 2013 competed in all English tasks: identifying events, identifying times, and identifying temporal relations. The system is a pipeline of machine-learning models, each with a small set of features from a simple morpho-syntactic annotation pipeline, and where temporal relations are only predicted for a small set of syntactic constructions and relation types. ClearTK-TimeML ranked 1st for temporal relation F1, time extent strict F1 and event tense accuracy.
AB - The ClearTK-TimeML submission to TempEval 2013 competed in all English tasks: identifying events, identifying times, and identifying temporal relations. The system is a pipeline of machine-learning models, each with a small set of features from a simple morpho-syntactic annotation pipeline, and where temporal relations are only predicted for a small set of syntactic constructions and relation types. ClearTK-TimeML ranked 1st for temporal relation F1, time extent strict F1 and event tense accuracy.
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M3 - Conference contribution
AN - SCOPUS:85028026169
T3 - *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
SP - 10
EP - 14
BT - *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
PB - Association for Computational Linguistics (ACL)
Y2 - 13 June 2013 through 14 June 2013
ER -