Supervised Within-Document Event Coreference using Information Propagation

Zhengzhong Liu, Jun Araki, Eduard Hovy, Teruko Mitamura


Abstract
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.
Anthology ID:
L14-1513
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4539–4544
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/646_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Zhengzhong Liu, Jun Araki, Eduard Hovy, and Teruko Mitamura. 2014. Supervised Within-Document Event Coreference using Information Propagation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4539–4544, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Supervised Within-Document Event Coreference using Information Propagation (Liu et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/646_Paper.pdf