Paper: Experiments with Reasoning for Temporal Relations between Events

ACL ID C08-1108
Title Experiments with Reasoning for Temporal Relations between Events
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

Few attempts have been made to inves- tigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articles. This paper presents three settings where temporal reasoning aids machine learned classifiers of tempo- ral relations: (1) expansion of the dataset used for learning; (2) detection of inconsis- tencies among the automatically identified relations; and (3) selection among multiple temporal relations. Feature engineering is another effort in our work to improve clas- sification accuracy.