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START - Natural Language Question Answering System Boris Katz START, the world's first Web-based question answering system, has been on-line and continuously operating since December, 1993. It has been developed by Boris Katz and his associates of the InfoLab Group at the MIT Computer Science and Artificial Intelligence Laboratory. http://start.csail.mit.edu/  
Delph-in PET UlrichCallmeier et al The PET system for efficient processing of unification-based grammars is an industrial strength implementation of the typed feature structure formalism used in DELPH-IN grammars http://moin.delph-in.net/PetTop  
WordNet 3.0 database statistics   http://wordnet.princeton.edu/man/wnstats.7WN.html  
LinGO English Resource Grammar Dan Flickinger et al  http://www.delph-in.net/erg/  
How to build your own Watson Jr. in your basement Tony Pearson  http://www.ibm.com/developerworks/community/blogs/InsideSystemStorage/entry/ibm_watson_how_to_build_your_own_watson_jr_in_your_basement7  
Minimal Recursion  Semantics (MRS) slides "Kostadin Cholakov" <kostadin@coli.uni­sb.de>    
Recent Advances in Computational Linguistics Yulia Ledeneva    
Automatic knowledge extraction from documents J. Fan; A. Kalyanpur; D. C. Gondek; D. A. Ferrucci    
Minimal Recursion Semantics: An Introduction Ann Copestake; Dan Flickinger; Carl Pollard; Ivan A. Sag   Research on Language and Computation (2005) 3:281–332 - DOI 10.1007/s11168-006-6327-9 
Slacker semantics: why superficiality, dependency and avoidance of commitment can be the right way to go Ann Copestake This paper discusses computational com-positional semantics from the perspective of grammar engineering, in the light of ex-perience with the use of Minimal Recur-sion Semantics in DELPH- IN grammars. The relationship between argument index-ation and semantic role labelling is ex-plored and a semantic dependency nota-tion (DMRS) is introduced.   
WikiWoods: Syntacto-Semantic Annotation for English Wikipedia Dan Flickinger; Stephan Oepen; Gisle Ytrestøl    
Introduction to WordNet: An On-line Lexical Database George A. Miller; Richard Beckwith; Christiane Fellbaum; Derek Gross; Katherine Miller WordNet is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, and adjectives are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets.   
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