出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：To extract participants of an event instance, it is necessary to identify all the sentences that describe the event instance. The set of all sentences referring to the same event instance are said to be corefering each other. Our proposed approach formulates the event coreference resolution as a graph based clustering model. It identifies the corefering sentences using minimum cut (mincut) based on similarity score between each pair of sentences at various levels such as trigger word similarity, time stamp similarity, entity similarity and semantic similarity. It achieves good B-Cubed F-measure score with some loss in recall.
