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Output details

11 - Computer Science and Informatics

University of Edinburgh

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Output 185 of 401 in the submission
Output title

Inducing Compact but Accurate Tree-Substitution Grammars

Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Volume number
-
Issue number
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First page of article
548
ISSN of proceedings
-
Year of publication
2009
Number of additional authors
2
Additional information

<22> Originality: The first paper to formalize estimation of a tree-substitution grammar as Bayesian inference.

Significance: Method has been adopted for a wide range of applications including machine translation (Cohn and Blunsom, 2009), dependency parsing (Blunsom and Cohn, 2010), sentence compression (Yamangil and Shieber, 2010), and multiword expression identification (Green et al., 2011). Also cited in a recent textbook on Linguistic Structure Prediction (Smith, 2011).

Rigour: Avoids the statistical and computational problems of previous methods (e.g., inconsistency, overfitting); experiments show parsing results comparable to state-of-the-art parsers. Above cited papers show the method can also be applied successfully to other tasks.

Interdisciplinary
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Cross-referral requested
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Research group
D - Institute for Language, Cognition & Computation
Citation count
16
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-