Matthew Honnibal


2015

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An Improved Non-monotonic Transition System for Dependency Parsing
Matthew Honnibal | Mark Johnson
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

2014

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Joint Incremental Disfluency Detection and Dependency Parsing
Matthew Honnibal | Mark Johnson
Transactions of the Association for Computational Linguistics, Volume 2

We present an incremental dependency parsing model that jointly performs disfluency detection. The model handles speech repairs using a novel non-monotonic transition system, and includes several novel classes of features. For comparison, we evaluated two pipeline systems, using state-of-the-art disfluency detectors. The joint model performed better on both tasks, with a parse accuracy of 90.5% and 84.0% accuracy at disfluency detection. The model runs in expected linear time, and processes over 550 tokens a second.

2013

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A Non-Monotonic Arc-Eager Transition System for Dependency Parsing
Matthew Honnibal | Yoav Goldberg | Mark Johnson
Proceedings of the Seventeenth Conference on Computational Natural Language Learning

2012

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Event Linking: Grounding Event Reference in a News Archive
Joel Nothman | Matthew Honnibal | Ben Hachey | James R. Curran
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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A Sequence Labelling Approach to Quote Attribution
Timothy O’Keefe | Silvia Pareti | James R. Curran | Irena Koprinska | Matthew Honnibal
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

2010

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Morphological Analysis Can Improve a CCG Parser for English
Matthew Honnibal | Jonathan K. Kummerfeld | James R. Curran
Coling 2010: Posters

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Reranking a wide-coverage ccg parser
Dominick Ng | Matthew Honnibal | James R. Curran
Proceedings of the Australasian Language Technology Association Workshop 2010

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Rebanking CCGbank for Improved NP Interpretation
Matthew Honnibal | James R. Curran | Johan Bos
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

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SCHWA: PETE Using CCG Dependencies with the C&C Parser
Dominick Ng | James W.D. Constable | Matthew Honnibal | James R. Curran
Proceedings of the 5th International Workshop on Semantic Evaluation

2009

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Fully Lexicalising CCGbank with Hat Categories
Matthew Honnibal | James R. Curran
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

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Evaluating a Statistical CCG Parser on Wikipedia
Matthew Honnibal | Joel Nothman | James R. Curran
Proceedings of the 2009 Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources (People’s Web)

2007

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Creating a Systemic Functional Grammar Corpus from the Penn Treebank
Matthew Honnibal | James R. Curran
ACL 2007 Workshop on Deep Linguistic Processing

2006

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Improved Default Sense Selection forWord Sense Disambiguation
Tobias Hawker | Matthew Honnibal
Proceedings of the Australasian Language Technology Workshop 2006

2005

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Identifying FrameNet Frames for Verbs from a Real-Text Corpus
Matthew Honnibal | Tobias Hawker
Proceedings of the Australasian Language Technology Workshop 2005

2004

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Converting the Penn Treebank to Systemic Functional Grammar
Matthew Honnibal
Proceedings of the Australasian Language Technology Workshop 2004