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Statistical Identification of Pleonastic Pronouns

Stamborg, Marcus and Nugues, Pierre LU (2012) The Fourth Swedish Language Technology Conference
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)
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The Fourth Swedish Language Technology Conference
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English
LU publication?
yes
id
72f4afad-dfa7-4209-b5ba-d9961fb27163 (old id 3191726)
date added to LUP
2012-11-22 10:55:03
date last changed
2016-04-16 12:15:34
@misc{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},
  language     = {eng},
  title        = {Statistical Identification of Pleonastic Pronouns},
  year         = {2012},
}