Paper: Aspectual Type and Temporal Relation Classification

ACL ID E12-1027
Title Aspectual Type and Temporal Relation Classification
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

In this paper we investigate the relevance of aspectual type for the problem of temporal information processing, i.e. the problems of the recent TempEval challenges. For a large list of verbs, we obtain sev- eral indicators about their lexical aspect by querying the web for expressions where these verbs occur in contexts associated with specific aspectual types. We then proceed to extend existing solu- tions for the problem of temporal informa- tion processing with the information ex- tracted this way. The improved perfor- mance of the resulting models shows that (i) aspectual type can be data-mined with unsupervised methods with a level of noise that does not prevent this information from being useful and that (ii) temporal informa- tion processing can profit from information about aspect...