Supervised Within-Document Event Coreference using Information Propagation

16119

Authors

nan

Abstract

AbstractEvent 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.

Keywords

nan

Full Content

nan

Labeled Text

AbstractEvent 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.

Publication Details

Paper ID:
16119
Year:
2014
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan