A Generative Model for Parsing Natural Language to Meaning Representations

[DBLP_Link] [Online_Version] CitedBy 6

Abstract:

In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structures. The model is applied to the task of mapping sentences to hierarchical representations of their underlying meaning. We introduce dynamic programming techniques for efficient training and decoding. In experiments, we demonstrate that the model, when coupled with a discriminative reranking technique, achieves state-of-the-art performance when tested on two publicly available corpora. The generative model degrades robustly when presented with instances that are different from those seen in training. This allows a notable improvement in recall compared to previous models.
Year: 2008
Pages: 10
In Proceedings: EMNLP

Authors:

Hwee Tou Ng

(Associate Professor, Department of Computer Science School of Computing National University of Singapore )

H-index: 19; Papers: 39; Citation: 2559 [FOAF]

Homepage: http://www.comp.nus.edu.sg/~nght/

Expertise: Natural Language System / Statistical Machine Translation; Learning Search Control Rules / Explanation-based Approach;

Wee Sun Lee

(Associate Professor, Department of Computer Science Computing 1 National University of Singapore)

H-index: 18; Papers: 53; Citation: 2494 [FOAF]

Homepage: http://www.comp.nus.edu.sg/~leews/

Expertise: Machine Learning; Information Retrieval / Probabilistic Indexing; Data Compression / Arithmetic Coding; Web Mining; Learning Search Control Rules / Explanation-based Approach;

Reference:  [Top]

Discriminative reranking for semantic parsing
Authors: Ruifang Ge Raymond     J. Mooney
Organization: Proceedings of the COLING/ACL on Main conference poster sessions

The mathematics of statistical machine translation: parameter estimation
Authors: Peter F. Brown     Vincent J. Della Pietra     Stephen A. Della Pietra     Robert L. Mercer
Organization: Computational Linguistics

Learning to Transform Natural to Formal Languages
Authors: Rohit J. Kate     Yuk Wah Wong     Raymond J. Mooney
Organization: AAAI

Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
Authors: Lappoon R. Tang     Raymond J. Mooney
Organization: ECML

Learning for Semantic Parsing with Statistical Machine Translation
Authors: Yuk Wah Wong     Raymond J. Mooney
Organization: HLT-NAACL

Head-Driven Statistical Models for Natural Language Parsing
Authors: Michael Collins
Organization: Computational Linguistics

Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer. A Generative Model for Parsing Natural Language to Meaning Representations. In Proceedings of EMNLP'2008. pp.783~792

Other Format:

LNCS: [Top]
Lu, W., Ng, H.T., Lee, W.S., Zettlemoyer, L.S.: A Generative Model for Parsing Natural Language to Meaning Representations. In EMNLP(2008) 783-792

IEEE:
W. Lu, H.T. Ng, W.S. Lee, and L.S. Zettlemoyer, "A Generative Model for Parsing Natural Language to Meaning Representations", in Proc. EMNLP, 2008, pp.783-792.

ACM:
Lu, W., Ng, H.T., Lee, W.S., and Zettlemoyer, L.S. A Generative Model for Parsing Natural Language to Meaning Representations. In Proceedings of EMNLP. 2008, 783-792.

Latex:
@INPROCEEDINGS{ lu:a, AUTHOR = "Wei Lu and Hwee Tou Ng and Wee Sun Lee and Luke S. Zettlemoyer", TITLE = "A Generative Model for Parsing Natural Language to Meaning Representations", booktitle = "EMNLP'08", PAGES = {783-792}, YEAR = {2008} }

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