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EMNLP
2008

A Generative Model for Parsing Natural Language to Meaning Representations

13 years 5 months ago
A Generative Model for Parsing Natural Language to Meaning Representations
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.
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where EMNLP
Authors Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer
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