Modularizing Natural Language Processing
Tutorial, GTC 2020, New York, USA
Tutorial, GTC 2020, New York, USA
Tutorial, AAAI 2020, New York, USA
Talk, LREC 2014, Reykjavik, Iceland
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.