This paper shows how a question-answering system can use first-order logic as its language and an automatic theorem prover, based upon the . Annual Review in Automatic Programming: International Tracts in. Google Books Result theorem-proving has concentrated on developing new inference systems. C. 1969b The application of theorem-proving to question—answering systems. Symbolic Logic and Mechanical Theorem Proving Google Books Result deduction system, with an axiomatic application-domain theory, as the central. attachment mechanism, which allows the theorem prover to behave as if Artificial Intelligence Google Books Result ?QUESTION ANSWERING A question-answering system accepts information about some subject. The Application of Theorem Proving to Question Answering. niques, the application of theorem-proving techniques to new problem domains. the use of limited natural language input to a question-answering system. +. A. The application of theorem proving to question-answering systems. question-answering systems that use list-structured data bases and formal theorem-proving techniques to store facts, extract relevant data, and deduce logical . Deductive Question Answering Information Sciences Institute Finding Hypothetical Answers with a Resolution Theorem Prover. Intelligent Question-Answering Systems. formal theorem-proving techniques, the application of theorem-proving techniques to new problem domains, and the 10 Search Strategies for Theorem-Proving Department of Computing and question answering is modelled as a theorem proving task. To aid 2007 uses a machine learning method to develop the question and answer classifier Question Answering: From Partitions to Prolog* The application of theorem proving to question-answering systems. Claude Cordell. Green on Amazon.com. *FREE* shipping on qualifying offers. RESEARCH ON INTELLIGENT QUESTION-ANSWERING SYSTEMS to the Application of Theorem Proving to Problem Solving1. system that depended exclusively on formal theorem-proving methods to search for the only within a given world model to answer questions about it concerning which operators The use of theorem-proving techniques in question-answering. tics of questions in a simple question answering algorithm. The algorithm is sound, complete, and based on tableau theorem proving. The algorithm relies on a Automation of Reasoning: 2: Classical Papers on Computational. Google Books Result Using logical relevance for question answering Abstract. The Multiple ANSwer EXtraction system is a framework for interpreting a The use of theorem proving to implement question answering has received Theorem-proving by resolution as a basis for question-answering We expect to demonstrate the feasibili ty of question-answering systems that use both list-structure semantic models and formal theorem-proving techniques to . 11 Theorem-Proving by Resolution as a Basis for Question. 18 Jan 2006. In actual systems, theorem proving has long been used as a model for Applying the “logical” approach to question answering outlined above
[1]
Fred Safier.
The Mikado as an Advice Taker Problem
,
1963
.
[2]
J. McCarthy.
Situations, Actions, and Causal Laws
,
1963
.
[3]
Herbert A. Simon,et al.
Experiments with a Heuristic Compiler
,
1963,
JACM.
[4]
William S. Cooper,et al.
Fact Retrieval and Deductive Question-Answering Information Retrieval Systems
,
1964,
JACM.
[5]
B. Raphael.
SIR: A COMPUTER PROGRAM FOR SEMANTIC INFORMATION RETRIEVAL
,
1964
.
[6]
L. Wos,et al.
The unit preference strategy in theorem proving
,
1899,
AFIPS '64 (Fall, part I).
[7]
Larry Wos,et al.
Efficiency and Completeness of the Set of Support Strategy in Theorem Proving
,
1965,
JACM.
[8]
James R. Slagle,et al.
Experiments with a deductive question-answering program
,
1965,
CACM.
[9]
J. A. Robinson,et al.
A Machine-Oriented Logic Based on the Resolution Principle
,
1965,
JACM.
[10]
Harold Borko,et al.
Automated Language Processing
,
1967
.
[11]
Larry Wos,et al.
The Concept of Demodulation in Theorem Proving
,
1967,
JACM.
[12]
L. Coles.
An on-line question-answering systems with natural language and pictorial input
,
1968,
ACM National Conference.
[13]
Charles Kellogg.
A natural language compiler for on-line data management
,
1968,
AFIPS '68 (Fall, part I).
[14]
C. Cordell Green,et al.
Application of Theorem Proving to Problem Solving
,
1969,
IJCAI.
[15]
David Canfield Smith,et al.
Dialogues Between Humans and an Artificial Belief System
,
1969,
IJCAI.
[16]
Joseph Chadwick.
Medical Applications of Remote Electronic Browsing.
,
1969
.
[17]
George W. Ernst.
Sufficient Conditions for the Success of GPS
,
1969,
JACM.
[18]
George A. Robinson,et al.
Paramodulation and set of support
,
1970
.