TY - GEN
T1 - Learning reliability of parses for domain adaptation of dependency parsing
AU - Kawahara, Daisuke
AU - Uchimoto, Kiyotaka
N1 - Publisher Copyright:
© 2008 IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference. All rights reserved.
PY - 2008
Y1 - 2008
N2 - The accuracy of parsing has exceeded 90% recently, but this is not high enough to use parsing results practically in natural language processing (NLP) applications such as paraphrase acquisition and relation extraction. We present a method for detecting reliable parses out of the outputs of a single dependency parser. This technique is also applied to domain adaptation of dependency parsing. Our goal was to improve the performance of a state-of-the-art dependency parser on the data set of the domain adaptation track of the CoNLL 2007 shared task, a formidable challenge.
AB - The accuracy of parsing has exceeded 90% recently, but this is not high enough to use parsing results practically in natural language processing (NLP) applications such as paraphrase acquisition and relation extraction. We present a method for detecting reliable parses out of the outputs of a single dependency parser. This technique is also applied to domain adaptation of dependency parsing. Our goal was to improve the performance of a state-of-the-art dependency parser on the data set of the domain adaptation track of the CoNLL 2007 shared task, a formidable challenge.
UR - http://www.scopus.com/inward/record.url?scp=85120180072&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120180072&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85120180072
T3 - IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference
SP - 709
EP - 714
BT - IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference
PB - Association for Computational Linguistics (ACL)
T2 - 3rd International Joint Conference on Natural Language Processing, IJCNLP 2008
Y2 - 7 January 2008 through 12 January 2008
ER -