%0 Conference Paper %1 poon2009 %A Poon, Hoifung %A Domingos, Pedro %B Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1 %C Stroudsburg, PA, USA %D 2009 %I Association for Computational Linguistics %K definition domingos markov network parsing poo semantic unsupervised %P 1--10 %T Unsupervised semantic parsing %U http://homes.cs.washington.edu/~pedrod/papers/emnlp09.pdf %X 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. %@ 978-1-932432-59-6

@inproceedings{poon2009, 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.}, acmid = {1699512}, added-at = {2013-04-11T17:32:44.000+0200}, address = {Stroudsburg, PA, USA}, author = {Poon, Hoifung and Domingos, Pedro}, biburl = {https://www.bibsonomy.org/bibtex/27071df6c4c7399c1855f7c2d4cb90fab/jil}, booktitle = {Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1}, description = {Unsupervised semantic parsing}, interhash = {49c8aa7e62d2904fa2166efa72c93472}, intrahash = {7071df6c4c7399c1855f7c2d4cb90fab}, isbn = {978-1-932432-59-6}, keywords = {definition domingos markov network parsing poo semantic unsupervised}, location = {Singapore}, numpages = {10}, pages = {1--10}, publisher = {Association for Computational Linguistics}, series = {EMNLP '09}, timestamp = {2013-11-23T20:11:51.000+0100}, title = {Unsupervised semantic parsing}, url = {http://homes.cs.washington.edu/~pedrod/papers/emnlp09.pdf}, year = 2009 }