@inproceedings{liu-etal-2014-supervised,
title = "Supervised Within-Document Event Coreference using Information Propagation",
author = "Liu, Zhengzhong and
Araki, Jun and
Hovy, Eduard and
Mitamura, Teruko",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/646_Paper.pdf",
pages = "4539--4544",
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.",
}
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%0 Conference Proceedings
%T Supervised Within-Document Event Coreference using Information Propagation
%A Liu, Zhengzhong
%A Araki, Jun
%A Hovy, Eduard
%A Mitamura, Teruko
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F liu-etal-2014-supervised
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/646_Paper.pdf
%P 4539-4544
Markdown (Informal)
[Supervised Within-Document Event Coreference using Information Propagation](http://www.lrec-conf.org/proceedings/lrec2014/pdf/646_Paper.pdf) (Liu et al., LREC 2014)
ACL