Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Deterministic parsing of syntactic non-fluencies
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
A syntactic framework for speech repairs and other disruptions
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on 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
On the parameter space of generative lexicalized statistical parsing models
On the parameter space of generative lexicalized statistical parsing models
Parsing and disfluency placement
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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
Computing confidence scores for all sub parse trees
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Early deletion of fillers in processing conversational speech
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Gesture salience as a hidden variable for coreference resolution and keyframe extraction
Journal of Artificial Intelligence Research
Exploring features for identifying edited regions in disfluent sentences
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
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
Appropriately handled prosodic breaks help PCFG parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Lessons learned in part-of-speech tagging of conversational speech
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
The impact of language models and loss functions on repair disfluency detection
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Joint reranking of parsing and word recognition with automatic segmentation
Computer Speech and Language
Punctuation: making a point in unsupervised dependency parsing
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Unsupervised syntactic chunking with acoustic cues: computational models for prosodic bootstrapping
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
| Hi-index | 0.00 |
We identify a set of prosodic cues for parsing conversational speech and show how such features can be effectively incorporated into a statistical parsing model. On the Switchboard corpus of conversational speech, the system achieves improved parse accuracy over a state-of-the-art system which uses only lexical and syntactic features. Since removal of edit regions is known to improve downstream parse accuracy, we explore alternatives for edit detection and show that PCFGs are not competitive with more specialized techniques.