The Application of Constraint Rules to Data-driven Parsing

Jaf, Sardar; Ramsay, Allan; Angelova, G.; Bontcheva, K.; Mitkov, R.

The Application of Constraint Rules to Data-driven Parsing

Jaf, Sardar; Ramsay, Allan; Angelova, G.; Bontcheva, K.; Mitkov, R.

Authors

Sardar Jaf

Allan Ramsay

G. Angelova

K. Bontcheva

R. Mitkov

Abstract

In this paper, we show an approach to extracting different types of constraint rules from a dependency treebank. Also, we show an approach to integrating these constraint rules into a dependency data-driven parser, where these constraint rules inform parsing decisions in specific situations where a set of parsing rule (which is induced from a classifier) may recommend several recommendations to the parser. Our experiments have shown that parsing accuracy could be improved by using different sets of constraint rules in combination with a set of parsing rules. Our parser is based on the arc-standard algorithm of MaltParser but with a number of extensions, which we will discuss in some detail.

Citation

Jaf, S., Ramsay, A., Angelova, G., Bontcheva, K., & Mitkov, R. (2015). The Application of Constraint Rules to Data-driven Parsing. In Recent advances in natural language processing : 10th International conference, RANLP 2015, 7-9 September 2015, Hissar, Bulgaria ; proceedings (232-238)

Conference Name	The 2015 International Conference on Recent Advances in Natural Language Processing
Conference Location	Hissar, Bulgaria
Publication Date	Sep 11, 2015
Deposit Date	Feb 12, 2016
Publicly Available Date	Feb 18, 2016
Volume	35
Pages	232-238
Series ISSN	1313-8502
Book Title	Recent advances in natural language processing : 10th International conference, RANLP 2015, 7-9 September 2015, Hissar, Bulgaria ; proceedings.
Publisher URL	http://www.aclweb.org/anthology/R15-1032