@inproceedings{ghosh-etal-2012-improving,
title = "Improving the Recall of a Discourse Parser by Constraint-based Postprocessing",
author = "Ghosh, Sucheta and
Johansson, Richard and
Riccardi, Giuseppe and
Tonelli, Sara",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/297_Paper.pdf",
pages = "2791--2794",
abstract = "We describe two constraint-based methods that can be used to improve the recall of a shallow discourse parser based on conditional random field chunking. These method uses a set of natural structural constraints as well as others that follow from the annotation guidelines of the Penn Discourse Treebank. We evaluated the resulting systems on the standard test set of the PDTB and achieved a rebalancing of precision and recall with improved F-measures across the board. This was especially notable when we used evaluation metrics taking partial matches into account; for these measures, we achieved F-measure improvements of several points.",
}
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%0 Conference Proceedings
%T Improving the Recall of a Discourse Parser by Constraint-based Postprocessing
%A Ghosh, Sucheta
%A Johansson, Richard
%A Riccardi, Giuseppe
%A Tonelli, Sara
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F ghosh-etal-2012-improving
%X We describe two constraint-based methods that can be used to improve the recall of a shallow discourse parser based on conditional random field chunking. These method uses a set of natural structural constraints as well as others that follow from the annotation guidelines of the Penn Discourse Treebank. We evaluated the resulting systems on the standard test set of the PDTB and achieved a rebalancing of precision and recall with improved F-measures across the board. This was especially notable when we used evaluation metrics taking partial matches into account; for these measures, we achieved F-measure improvements of several points.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/297_Paper.pdf
%P 2791-2794
Markdown (Informal)
[Improving the Recall of a Discourse Parser by Constraint-based Postprocessing](http://www.lrec-conf.org/proceedings/lrec2012/pdf/297_Paper.pdf) (Ghosh et al., LREC 2012)
ACL