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Procedural semantics for a question-answering machine

Published: 09 December 1968 Publication History

Abstract

Simmons has presented a survey of some fifteen experimental question-answering and related systems which have been constructed since 1959. These systems take input questions in natural English (subject to varying constraints) and attempt to answer the questions on the basis of a body of information, called the data base, which is stored inside the computer. This process can be conceptually divided into three phases---syntatic analysis, semantic analysis, and retrieval, as illustrated schematically in Figure 1. The first phase consists of parsing the input sentence into a structure which explicitly represents the grammatical relationships among the words of the sentence. Using this information the second component constructs a representation of the semantic content or "meaning" of the sentence. The remaining phase consists of procedures for either retrieving the answer directly from the data base, or else deducing the answer from information contained in the data base. The dotted lines in the figure represent the possible use of feedback from the later stages to aid in parsing and semantic interpretation.

References

[1]
R F Simmons Answering English questions by computer: a survey Communications of the ACM Vol 8 No 1 Jan 1965 pages 53--70
[2]
Deacon Project Phrase-structure oriented targeting query language RM65TMP-64 TEMPO General Electric Co Santa Barbara California Sept 1965
[3]
W A Woods Semantics for a question-answering system PhD thesis Division of Engineering and Applied Physics Harvard University Cambridge Massachusetts Aug 1967 Also Report NSF-19 Harvard Computation Laboratory
[4]
D G Bobrow A question-answering system for high school algebra word problems AFIPS Conference Proceedings Vol 26 1964 Fall Joint Computer Conference pages 591--614
[5]
B Raphael A computer program which 'understands' AFIPS Conference Proceedings Vol 26 1964 Fall Joint Computer Conference pages 577--589
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R K Lindsay Inferential memory as a basis of machines which understand natural language In Feigenbaum E A and Feldman J (eds) Computers and Thought McGraw-Hill New York 1963 pages 217--233
[7]
F S Black A deductive question-answering system Unpublished PhD thesis Division of Engineering and Applied Physics Harvard University Cambridge Massachusetts June 1964
[8]
Official Airline Guide Quick Reference North American Edition Standard reference of the Air Traffic Conference of America March 1 1966
[9]
J J Katz J A Fodor The structure of a semantic theory In Katz J J and Fodor J A (eds) The Structure of Language: Readings in the philosophy of language (Prentice-Hall Englewood Cliffs New Jersey 1964 pages 479--518
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S R Petrick A recognition procedure for transformational grammars Unpublished PhD thesis Department of Modern Languages Massachusetts Institute of Technology Cambridge Massachusetts May 1965

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    AFIPS '68 (Fall, part I): Proceedings of the December 9-11, 1968, fall joint computer conference, part I
    December 1968
    931 pages
    ISBN:9781450378994
    DOI:10.1145/1476589
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 09 December 1968

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    AFIPS '68 (Fall, part I)
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    December 9 - 11, 1968
    California, San Francisco

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    • (2022)Natural Language Processing to Extract Contextual Structure from Requirements2022 IEEE International Systems Conference (SysCon)10.1109/SysCon53536.2022.9773855(1-8)Online publication date: 25-Apr-2022
    • (2020)The Computational Origin of RepresentationMinds and Machines10.1007/s11023-020-09540-9Online publication date: 3-Nov-2020
    • (2017)A survey of multi-modal question answering systems for robotics2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM)10.1109/ICARM.2017.8273158(189-194)Online publication date: Aug-2017
    • (2016)User motivations for asking questions in online Q&A servicesJournal of the Association for Information Science and Technology10.1002/asi.2349067:5(1182-1197)Online publication date: 16-Apr-2016
    • (2012)Discourse structure and computationProceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries10.5555/2390507.2390514(42-54)Online publication date: 10-Jul-2012
    • (2010)Passing Markers: A Theory of Contextual Influence in Language Comprehension*Cognitive Science10.1207/s15516709cog0703_17:3(171-190)Online publication date: 11-Feb-2010
    • (2010)The Role of Logic and Ontology in Language and ReasoningTheory and Applications of Ontology: Philosophical Perspectives10.1007/978-90-481-8845-1_11(231-263)Online publication date: 28-Jul-2010
    • (2009)Natural Language Processing for Information RetrievalEncyclopedia of Library and Information Sciences, Third Edition10.1081/E-ELIS3-120008664(3864-3873)Online publication date: 7-Dec-2009
    • (2007)Linguistics and information scienceJournal of the American Society for Information Science10.1002/asi.463023030923:3(195-219)Online publication date: 22-Mar-2007
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