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Statistical Identification of Pleonastic Pronouns

Stamborg, Marcus and Nugues, Pierre LU orcid (2012) The Fourth Swedish Language Technology Conference p.67-68
Abstract
This paper describes an algorithm to identify pleonastic pronouns using statistical techniques. The training step uses a coreference

annotated corpus of English and focuses on a set of pronouns such as it. As far as we know, there is no corpus with a pleonastic

annotation. The main idea of the algorithm was then to recast the definition of pleonastic pronouns as pronouns that never occur

in a coreference chain. We integrated this algorithm in an existing coreference solver (Bj¨orkelund and Nugues, 2011) and we

measured the overall performance gains brought by the pleonastic it removal. We observed an improvement of 0.42 from 59.15

of the CoNLL score. The complete system (Stamborg et al., 2012)... (More)
This paper describes an algorithm to identify pleonastic pronouns using statistical techniques. The training step uses a coreference

annotated corpus of English and focuses on a set of pronouns such as it. As far as we know, there is no corpus with a pleonastic

annotation. The main idea of the algorithm was then to recast the definition of pleonastic pronouns as pronouns that never occur

in a coreference chain. We integrated this algorithm in an existing coreference solver (Bj¨orkelund and Nugues, 2011) and we

measured the overall performance gains brought by the pleonastic it removal. We observed an improvement of 0.42 from 59.15

of the CoNLL score. The complete system (Stamborg et al., 2012) participated in the CoNLL 2012 shared task (Pradhan et al.,

2012), where it obtained the 4th rank. (Less)
Please use this url to cite or link to this publication:
author
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publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
SLTC 2012 : The Fourth Swedish Language Technology Conference - The Fourth Swedish Language Technology Conference
pages
67 - 68
publisher
SLTC
conference name
The Fourth Swedish Language Technology Conference
conference location
Lund, Sweden
conference dates
2012-10-24 - 2012-10-26
language
English
LU publication?
yes
id
72f4afad-dfa7-4209-b5ba-d9961fb27163 (old id 3191726)
date added to LUP
2016-04-04 14:13:31
date last changed
2021-05-06 16:07:57
@inproceedings{72f4afad-dfa7-4209-b5ba-d9961fb27163,
  abstract     = {{This paper describes an algorithm to identify pleonastic pronouns using statistical techniques. The training step uses a coreference<br/><br>
annotated corpus of English and focuses on a set of pronouns such as it. As far as we know, there is no corpus with a pleonastic<br/><br>
annotation. The main idea of the algorithm was then to recast the definition of pleonastic pronouns as pronouns that never occur<br/><br>
in a coreference chain. We integrated this algorithm in an existing coreference solver (Bj¨orkelund and Nugues, 2011) and we<br/><br>
measured the overall performance gains brought by the pleonastic it removal. We observed an improvement of 0.42 from 59.15<br/><br>
of the CoNLL score. The complete system (Stamborg et al., 2012) participated in the CoNLL 2012 shared task (Pradhan et al.,<br/><br>
2012), where it obtained the 4th rank.}},
  author       = {{Stamborg, Marcus and Nugues, Pierre}},
  booktitle    = {{SLTC 2012 : The Fourth Swedish Language Technology Conference}},
  language     = {{eng}},
  pages        = {{67--68}},
  publisher    = {{SLTC}},
  title        = {{Statistical Identification of Pleonastic Pronouns}},
  url          = {{https://lup.lub.lu.se/search/files/19769020/3191727.pdf}},
  year         = {{2012}},
}