Уақытша Реттеу

This paper investigates a machine learn- ing approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning as an over- sampling …...

We present a joint model for predicate argu- ment alignment. We leverage multiple sources of semantic information, including temporal ordering constraints between events. These are combined in a max-margin framework …...

AbstractScript knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks. In this paper, we consider two recent datasets which provide a rich …...

In order to make the temporal interpretation of text, there have been many studies linking event and temporal information, such as temporal ordering of events and timeline generation. To train …...

AbstractModels of narrative schema knowledge have proven useful for a range of event-related tasks, but they typically do not capture the temporal relationships between events. We propose a single model …...