%0 Conference Paper %1 citeulike:5971394 %A Liang, Percy %A Jordan, Michael %A Klein, Dan %B Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP %C Suntec, Singapore %D 2009 %I Association for Computational Linguistics %K related semantics nlp2rdf_relevant %P 91--99 %T Learning Semantic Correspondences with Less Supervision %U http://www.aclweb.org/anthology/P/P09/P09-1011.pdf %X A central problem in grounded language acquisition is learning the correspondences between a rich world state and a stream of text which references that world state. To deal with the high degree of ambiguity present in this setting, we present a generative model that simultaneously segments the text into utterances and maps each utterance to a meaning representation grounded in the world state. We show that our model generalizes across three domains of increasing difficulty—Robocup sportscasting, weather forecasts (a new domain), and NFL recaps.

@inproceedings{citeulike:5971394, abstract = {A central problem in grounded language acquisition is learning the correspondences between a rich world state and a stream of text which references that world state. To deal with the high degree of ambiguity present in this setting, we present a generative model that simultaneously segments the text into utterances and maps each utterance to a meaning representation grounded in the world state. We show that our model generalizes across three domains of increasing difficulty—Robocup sportscasting, weather forecasts (a new domain), and NFL recaps.}, added-at = {2010-01-13T11:03:03.000+0100}, address = {Suntec, Singapore}, author = {Liang, Percy and Jordan, Michael and Klein, Dan}, biburl = {https://www.bibsonomy.org/bibtex/277469b23022ac7e380a53969bc7d7674/sebastian}, booktitle = {Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP}, citeulike-article-id = {5971394}, citeulike-linkout-0 = {http://www.aclweb.org/anthology-new/P/P09/P09-1011.bib}, citeulike-linkout-1 = {http://www.aclweb.org/anthology-new/P/P09/P09-1011.pdf}, interhash = {e5a42da26c90925e5b86ff3c90bc6e54}, intrahash = {77469b23022ac7e380a53969bc7d7674}, keywords = {related semantics nlp2rdf_relevant}, month = {August}, pages = {91--99}, posted-at = {2009-10-19 15:27:16}, priority = {2}, publisher = {Association for Computational Linguistics}, timestamp = {2013-07-07T16:28:17.000+0200}, title = {Learning Semantic Correspondences with Less Supervision}, url = {http://www.aclweb.org/anthology/P/P09/P09-1011.pdf}, year = 2009 }