A collaborative annotation between human annotators and a statistical parser

Authors:
Shun'ya Iwasawa;Hiroki Hanaoka;Takuya Matsuzaki;Yusuke Miyao;Jun'ichi Tsujii
Affiliations:
University of Tokyo, Tokyo, Japan;University of Tokyo, Tokyo, Japan;University of Tokyo, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan;Microsoft Research Asia, Beijing, P. R. China
Venue:
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Year:
2011

Citing 7
Cited 0

The Penn Treebank: annotating predicate argument structure

HLT '94 Proceedings of the workshop on Human Language Technology
Evaluating impact of re-training a lexical disambiguation model on domain adaptation of an HPSG parser

IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
A log-linear model with an n-gram reference distribution for accurate HPSG parsing

IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
Interactive predictive parsing

IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Interactive predictive parsing using a web-based architecture

HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
The manually annotated sub-corpus: a community resource for and by the people

ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Discriminant ranking for efficient treebanking

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a new interactive annotation scheme between a human annotator who carries out simplified annotations on CFG trees, and a statistical parser that converts the human annotations automatically into a richly annotated HPSG treebank. In order to check the proposed scheme's effectiveness, we performed automatic pseudo-annotations that emulate the system's idealized behavior and measured the performance of the parser trained on those annotations. In addition, we implemented a prototype system and conducted manual annotation experiments on a small test set.