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Using distant supervision to build a proposition bank

Exner, Peter LU ; Klang, Marcus LU and Nugues, Pierre LU (2014) The Fifth Swedish Language Technology Conference (SLTC 2014)
Abstract
Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic

role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise,

which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks

for new languages using distant supervision. Starting from PropBank in English and loosely parallel corpora such as versions

of Wikipedia in different languages, we carried out a mapping of semantic propositions we extracted from English to syntactic

structures in Swedish using named entities. We could identify 2,333... (More)
Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic

role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise,

which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks

for new languages using distant supervision. Starting from PropBank in English and loosely parallel corpora such as versions

of Wikipedia in different languages, we carried out a mapping of semantic propositions we extracted from English to syntactic

structures in Swedish using named entities. We could identify 2,333 predicate–argument frames in Swedish. (Less)
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The Fifth Swedish Language Technology Conference (SLTC 2014)
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English
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yes
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1dd8aee6-1f4d-4330-b283-49863b58276c (old id 5115024)
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http://www2.lingfil.uu.se/SLTC2014/abstracts/sltc2014_submission_4.pdf
date added to LUP
2015-02-26 15:35:55
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2016-04-16 11:19:32
@misc{1dd8aee6-1f4d-4330-b283-49863b58276c,
  abstract     = {Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic<br/><br>
role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise,<br/><br>
which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks<br/><br>
for new languages using distant supervision. Starting from PropBank in English and loosely parallel corpora such as versions<br/><br>
of Wikipedia in different languages, we carried out a mapping of semantic propositions we extracted from English to syntactic<br/><br>
structures in Swedish using named entities. We could identify 2,333 predicate–argument frames in Swedish.},
  author       = {Exner, Peter and Klang, Marcus and Nugues, Pierre},
  language     = {eng},
  title        = {Using distant supervision to build a proposition bank},
  year         = {2014},
}