Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Detecting and correcting speech repairs
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Edit detection and parsing for transcribed speech
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Parsing and disfluency placement
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A TAG-based noisy channel model of speech repairs
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Effective use of prosody in parsing conversational speech
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Parsing conversational speech using enhanced segmentation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
PCFGs with syntactic and prosodic indicators of speech repairs
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A progressive feature selection algorithm for ultra large feature spaces
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Interactive question answering and constraint relaxation in spoken dialogue systems
Natural Language Engineering
Reconstructing false start errors in spontaneous speech text
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Integrating sentence- and word-level error identification for disfluency correction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
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This paper describes our effort on the task of edited region identification for parsing disfluent sentences in the Switchboard corpus. We focus our attention on exploring feature spaces and selecting good features and start with analyzing the distributions of the edited regions and their components in the targeted corpus. We explore new feature spaces of a part-of-speech (POS) hierarchy and relaxed for rough copy in the experiments. These steps result in an improvement of 43.98% percent relative error reduction in F-score over an earlier best result in edited detection when punctuation is included in both training and testing data [Charniak and Johnson 2001], and 20.44% percent relative error reduction in F-score over the latest best result where punctuation is excluded from the training and testing data [Johnson and Charniak 2004].