Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
PCFG models of linguistic tree representations
Computational Linguistics
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Probabilistic CFG with latent annotations
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Effective self-training for parsing
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Statistical approaches to computer-assisted translation
Computational Linguistics
A look at parsing and its applications
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Computer-assisted translation using speech recognition
IEEE Transactions on Audio, Speech, and Language Processing
Interactive predictive parsing using a web-based architecture
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
Confidence measures for error discrimination in an interactive predictive parsing framework
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A collaborative annotation between human annotators and a statistical parser
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Parsing of partially bracketed structures for parse selection
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
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This paper introduces a formal framework that presents a novel Interactive Predictive Parsing schema which can be operated by a user, tightly integrated into the system, to obtain error free trees. This compares to the classical two-step schema of manually post-editing the erroneus constituents produced by the parsing system. We have simulated interaction and calculated evalaution metrics, which established that an IPP system results in a high amount of effort reduction for a manual annotator compared to a two-step system.