Add to ORKGIt is shown how ideas adapted from recent work on explanation-based generalization can be used to allow a logic grammar to "learn" useful derived grammar rules by generalizing them from example sentences. The method is presented in the form of a small Prolog meta-interpreter, and its soundness is formally proved. Examples are given showing the application of the generalizer, first to a toy grammar with 40 rules and then to a largish independantly developed system which involves non-trivial syntactic and semantic analysis.Original report number R89014.</p
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
We propose to set the grammatical inference problem in a logical framework. The search for admissibl...
193 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Researchers in a new subfield...
It is shown how ideas adapted from recent work on explanation-based generalization can be used to al...
Implementations of Explanation-Based Generalization (EBG) within a logic-programming environment, as...
Abstract. The problem of formulating general concepts from specific training examples has long been ...
We argue that explanation-based generalisation as recently proposed in the machine learning literatu...
Proc. 5th Intern. Workshop on Analogical and Inductive Inference for Program SynthesisThis paper pre...
Implementations of Explanation-Based Generalization (EBG) within a logic-programming environment, as...
290 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning is...
In this paper we present some novel applications of Explanation-Based Learning (EBL) technique to pa...
Explanation-based learning is a technique which attempts to optimize performance of a rule-based s...
Despite early interest Predicate Invention has lately been under-explored within ILP. We develop a f...
. New methods from meta-programming in logic makes it possible automatically to extract grammar rule...
In explanation-based learning, a specific problem?s solution is generalized into a form that can be ...
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
We propose to set the grammatical inference problem in a logical framework. The search for admissibl...
193 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Researchers in a new subfield...
It is shown how ideas adapted from recent work on explanation-based generalization can be used to al...
Implementations of Explanation-Based Generalization (EBG) within a logic-programming environment, as...
Abstract. The problem of formulating general concepts from specific training examples has long been ...
We argue that explanation-based generalisation as recently proposed in the machine learning literatu...
Proc. 5th Intern. Workshop on Analogical and Inductive Inference for Program SynthesisThis paper pre...
Implementations of Explanation-Based Generalization (EBG) within a logic-programming environment, as...
290 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning is...
In this paper we present some novel applications of Explanation-Based Learning (EBL) technique to pa...
Explanation-based learning is a technique which attempts to optimize performance of a rule-based s...
Despite early interest Predicate Invention has lately been under-explored within ILP. We develop a f...
. New methods from meta-programming in logic makes it possible automatically to extract grammar rule...
In explanation-based learning, a specific problem?s solution is generalized into a form that can be ...
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
We propose to set the grammatical inference problem in a logical framework. The search for admissibl...
193 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Researchers in a new subfield...