Sure, having something that maps trees to logical forms would be useful. Boris, I would recommend you look at papers in Ray Mooney's group on semantic parsing:
http://www.cs.utexas.edu/~ml/publications/area/77/learning_for_semantic_parsing In particular, Ruifang Ge (who is now at Facebook) did phrase structure to logical form learning: http://www.cs.utexas.edu/~ai-lab/pub-view.php?PubID=126959 Jason On Wed, Aug 10, 2011 at 5:52 AM, Jörn Kottmann <[email protected]> wrote: > After reading a bit more about it, I think it could be a great > contribution. > > Jörn > > > > On 8/10/11 12:47 AM, Boris Galitsky wrote: > >> Hello openNLP Developers >> >> I would like to contribute a component which relies on openNLP, and >> gives search engineers a simple relevance verification tool which relies on >> machine learning of syntactic parse trees. >> >> The value for search engineers community is that they dont have to be >> familiar with NLP to use syntactic generalization component, which does >> parsing/chunking by openNLP and then graph-based learning for relevance >> assessment (proposed component). >> >> One of the expected usage scenario is that a search library like lucene is >> used, and this component would accept / reject irrelevant search results >> (according to the proposed syntactic generalization measure). >> >> This code has been deployed commercially over last 2 years at datran.comand >> zvents.com and is serving> 20 mln users monthly. >> >> There is a number of publications on this project, including >> >> http://portal.acm.org/**citation.cfm?id=1881190<http://portal.acm.org/citation.cfm?id=1881190> >> >> http://www.aaai.org/ocs/index.**php/FLAIRS/FLAIRS11/paper/**view/2573<http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS11/paper/view/2573> >> >> Regards >> Boris >> >> >> > -- Jason Baldridge Assistant Professor, Department of Linguistics The University of Texas at Austin http://www.jasonbaldridge.com http://twitter.com/jasonbaldridge
