Extracting Temporal and Causal Relations between Events

摘要: A notably challenging problem related to event processing is recognizing the relations holding between events in a text, particular temporal and causal relations. While there has been some research on relations, aspect of causality from Natural Language Processing (NLP) perspective hardly touched. We propose an annotation scheme cover different types events, techniques for extracting such investigation into connection In this thesis work we aim focus especially latter, because presumed have constraint. conjecture that injecting presumption may be beneficial recognition both