C. Thompson and R. Mooney. Semantic lexicon acquisition for learning natural language interfaces. Technical Report TR AI98-273, Artificial Intelligence Lab, University of Texas, Austin, TX, 1998. Home/Search Document Details and Download
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Grammatical Inference as Unification - Nicolas (1999) (4 citations) (Correct)
....with remaining inequations t 6= A and (Ant) A) 6= AnA) A) Learning with semantics Two recent studies suggest yet another way to further constrain the selection of meaningful grammars, using semantical information. C. Thompson and R. Mooney [30] propose to learn a lexicon of pairs Word, Meaning from pairs of Sentences, Representation . Although they do not solve, strictly speaking, a grammatical inference problem, they use a kind of lca to produce their results by anti unication and their problem could be easily set in the framework ....
C. Thompson and R. Mooney. Semantic lexicon acquisition for learning natural language interfaces. In 6th Workshop on Very Large Corpora, August 1998.
A Default Logic Based Framework for Context-Dependent Reasoning.. - Hunter (1999) (Correct)
....and more generalized contexts. For an application, it is possible that a relatively large number of default rules would be required for an acceptable level of performance. To address this viability problem, we aim to investigate a number of avenues: 1) Using inductive logic programming ([Mug92, Cus97, Cus98, TM98]) and statistical techniques (such as [CHS93] to generate formulae for a default theory for a domain; 2) Using co locational data with decision tree learning based on ID3 or C4.5, or co locational data with unsupervised learning techniques such as in [Yar95] and (3) Using machine readable ....
C Thompson and R Mooney. Semantic lexicon acquisition for learning natural language interfaces. Technical Report TR AI98-273, AI Lab, University of Texas at Austin, 1998.
Learning for Semantic Interpretation: Scaling Up Without Dumbing.. - Mooney (1999) (3 citations) (Correct)
.... In contrast, most of our own recent research on applying ILP to NLP has focused on learning to parse natural language database queries into a semantic logical form that produces an answer when executed in Prolog (Zelle Mooney, 1993, 1994, 1996; Zelle, 1995; Mooney, 1997; Thompson Mooney, 1999; Thompson, 1998; Thompson, Califf, Mooney, 1999) There is a long tradition of representing the meaning of natural language statements and queries in first order logic (Allen, 1995; Dowty, Wall, Peters, 1981; Woods, 1978) However, we know of no other recent research specifically on learning to map language ....
....that provides the possible logical representations of specific words and phrases. Chill initially required the user to provide this lexicon; however, we have recently developed a system called Wolfie that learns this lexicon automatically from the same training corpus (Thompson Mooney, 1999; Thompson, 1998). Chill has been used successfully to learn natural language interfaces for three separate databases: 1) a small database on U.S. geography, 2) a database of thousands of restaurants in northern California, and 3) a database of computer jobs automatically extracted from the Usenet newsgroup ....
Thompson, C. A. (1998). Semantic Lexicon Acquisition for Learning Natural Language Interfaces.
Relational Learning Techniques for Natural Language Information.. - Califf (1998) (19 citations) (Correct)
....postdate: 17 Nov 1996 Figure 2.2: The filled template corresponding to the message shown in Figure 2.1. All of the slotfillers are strings taken directly from the document. Not all of the slots are filled, and some have more than one filler. being produced using Wolfie (Thompson, 1995; Thompson Mooney, 1989), a system which learns a lexicon from sentences paired with their semantic representations. Information extraction systems are generally complex, with several modules, some of which are very domain specific (DARPA, 1992, 1993, 1995) They usually incorporate parsers, specialized lexicons, and ....
Thompson, C. A., & Mooney, R. J. (1989). Semantic lexicon acquisition for learning natural language interfaces. In Proceedings of the Sixth Workshop on Very Large Corpora.
Grammar Inference, Automata Induction, and Language Acquisition - Parekh, Honavar (2000) (1 citation) (Correct)
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C. Thompson and R. Mooney. Semantic lexicon acquisition for learning natural language interfaces. Technical Report TR AI98-273, Artificial Intelligence Lab, University of Texas, Austin, TX, 1998.
Reasoning with Output from Parsing Using World Knowledge - Hunter, Marten (2000) (Correct)
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C Thompson and R Mooney. Semantic lexicon acquisition for learning natural language interfaces. Technical Report TR AI98-273, AI Lab, University of Texas at Austin, 1998.
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