@inproceedings{mueller-etal-2008-knowledge,
title = "Knowledge Sources for Bridging Resolution in Multi-Party Dialog",
author = "Mueller, Mark-Christoph and
Mieskes, Margot and
Strube, Michael",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/720_paper.pdf",
abstract = "In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the task of bridging resolution. We report on an annotation experiment which yielded pairs of bridging anaphors and their antecedents in spoken multi-party dialog. Manual inspection of the two knowledge sources showed that, with some interesting exceptions, Wikipedia is superior to WordNet when it comes to the coverage of information necessary to resolve the bridging anaphors in our data set. We further describe a simple procedure for the automatic extraction of the required knowledge from Wikipedia by means of an API, and discuss some of the implications of the procedures performance.",
}
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%0 Conference Proceedings
%T Knowledge Sources for Bridging Resolution in Multi-Party Dialog
%A Mueller, Mark-Christoph
%A Mieskes, Margot
%A Strube, Michael
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F mueller-etal-2008-knowledge
%X In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the task of bridging resolution. We report on an annotation experiment which yielded pairs of bridging anaphors and their antecedents in spoken multi-party dialog. Manual inspection of the two knowledge sources showed that, with some interesting exceptions, Wikipedia is superior to WordNet when it comes to the coverage of information necessary to resolve the bridging anaphors in our data set. We further describe a simple procedure for the automatic extraction of the required knowledge from Wikipedia by means of an API, and discuss some of the implications of the procedures performance.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/720_paper.pdf
Markdown (Informal)
[Knowledge Sources for Bridging Resolution in Multi-Party Dialog](http://www.lrec-conf.org/proceedings/lrec2008/pdf/720_paper.pdf) (Mueller et al., LREC 2008)
ACL