2009 UnsupervisedSemanticParsing
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- (Poon & Domingos, 2009) ⇒ Hoifung Poon, and Pedro Domingos. (2009). “Unsupervised Semantic Parsing.” In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP 2009).
Subject Headings: Semantic Parsing, Unsupervised Learning.
Notes
- [Slides] http://www.cs.washington.edu/homes/hoifung/talks/usp09.ppt
- [Download data and code] http://alchemy.cs.washington.edu/papers/poon09
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Abstract
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, recursively induces lambda forms from these, and clusters them to abstract away syntactic variations of the same meaning. The MAP semantic parse of a sentence is obtained by recursively assigning its parts to lambda-form clusters and composing them. We evaluate our approach by using it to extract a knowledge base from biomedical abstracts and answer questions. USP substantially outperforms TextRunner, DIRT and an informed baseline on both precision and recall on this task.,