perm filename TABLE[4,KMC]1 blob
sn#110831 filedate 1974-07-07 generic text, type T, neo UTF8
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00400 TABLE OF CONTENTS
00500
00600 INTRODUCTION ?
00700 The problem of recognizing natural language
00800 dialogue expressions in real time. Previous
00900 approaches. The problem of simulating paranoid
01000 linguistic behavior in a psychiatric interview.
01100 Summary of a method for transforming natural
01200 language input expressions until a pattern
01300 is obtained which completely or fuzzily
01400 matches a more abstract stored pattern.
01500
01600
01700 OVERVIEW ?
01800 The paranoid model (PARRY2) consists of a
01900 RECOGNIZE module which performs the task of
02000 recognizing the input and a RESPOND module
02100 which decides how to respond. The RECOGNIZE
02200 module functions independently of the RESPOND
02300 module except in the case of anaphoric
02400 references which it provides on request from
02500 the language recognizer.
02600
02700
02800 PREPROCESSING ?
02900 Dictionary lookup and translations. How
03000 misspellings and typing errors are handled.
03100
03200
03300 SEGMENTING ?
03400 Bracketing the pattern into shorter segments.
03500 A "simple" pattern contains no delimiters; a
03600 "compound" pattern is made up of two or more
03700 simple patterns.
03800
03900
04000 MATCHING INDIVIDUAL SEGMENTS ?
04100 Negations and anaphora. Matching the pattern
04200 with stored patterns having pointers to
04300 response functions in memory. If a complete
04400 match is not found, a fuzzy match is attempted
04500 by deleting elements from the pattern one at
04600 time. If no match is found, the RESPOND module
04700 must decide what to do.
04800
04900
05000 COMPOUND-PATTERN MATCH ?
05100 Complete and fuzzy matching when the pattern
05200 contains two or more segments.
05300
05400
05500 ADVANTAGES AND LIMITATIONS ?
05600 The advantages of ignoring as irrelevant some
05700 of what is recognized and what is not recognized
05800 at all. The complete language recognition process
05900 of the algorithm requires less than one second
06000 of real time. How the data base "learns". The
06100 measurement of linguistic improvement.
06200
06300
06400 REFERENCES ?
06500
06600
06700 APPENDIX 1 ?
06800 A diagnostic psychiatric interview which
06900 illustrates some of the model's linguistic
07000 capabilities.
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07200
07300 APPENDIX 2 ?
07400 A listing of the dictionary illustrating
07500 the algorithm's recognizable input words and
07600 the word class names they are translated into.
07700
07800
07900 APPENDIX 3 ?
08000 A listing of the simple patterns.