Statistical Identification of Pleonastic Pronouns
Author
Summary, in English
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.
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.
Department/s
Publishing year
2012
Language
English
Pages
67-68
Publication/Series
SLTC 2012 : The Fourth Swedish Language Technology Conference
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Document type
Conference paper
Publisher
SLTC
Topic
- Computer Science
Conference name
The Fourth Swedish Language Technology Conference
Conference date
2012-10-24 - 2012-10-26
Conference place
Lund, Sweden
Status
Published