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Extracting Temporal and Causal Relations between Events
2014
Proceedings of the ACL 2014 Student Research Workshop
A notably challenging problem related to event processing is recognizing the relations holding between events in a text, in particular temporal and causal relations. While there has been some research on temporal relations, the aspect of causality between events from a Natural Language Processing (NLP) perspective has hardly been touched. We propose an annotation scheme to cover different types of causality between events, techniques for extracting such relations and an investigation into the
doi:10.3115/v1/p14-3002
dblp:conf/acl/Mirza14
fatcat:awmvmqixpjaqjf6prib36wzbpq