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. ClearTKTimeML ranked 1 st for temporal relation F1, time extent strict F1 and event tense accuracy.
ClearTK-TimeML REF ) uses a small set of morpho-syntactic features and temporal types of alphanumeric sub-tokens.
ClearTK-TimeML: A minimalist approach to TempEval 2013
*SEM
Computer Science