TempEval 2007

We approached the temporal relation identi- fication tasks of TempEval 2007 as pair-wise classification tasks. We introduced a va- riety of syntactically and semantically mo- tivated features, including temporal-logic- based …...

This paper explores a hybrid approach to temporal information extraction within the TimeML framework. Particularly, we focus on our initial efforts to apply machine learning techniques to identify temporal relations …...

We describe the Sheffield system used in TempEval-2007. Our system takes a machine-learning (ML) based approach, treating temporal relation assignment as a simple classification task and using features easily derived …...

. Temporal information extraction is an interesting research area in Natural Language Processing (NLP). Here, the main task involves identification of the different relations between various events and time expressions …...

The automatic prediction of aspectual classes is very challenging for verbs whose aspectual value varies across readings, which are the rule rather than the excep- tion. This paper sheds a …...