Supervised Within-Document Event Coreference using Information Propagation
Zhengzhong Liu, Jun Araki, Eduard H. Hovy, Teruko Mitamura · 2014
Event coreference is an important task for full text analysis.However, previous work uses a variety of approaches, sources and evaluation, making the literature confusing and the results incommensurate.We provide a description of the differences to facilitate future research.Second, we present a supervised method for event coreference resolution that uses a rich feature set and propagates information alternatively between events and their arguments, adapting appropriately for each type of argument.