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Understanding Editorial Text: A Computer Model of Argument Comprehension PDF

315 Pages·1990·11.48 MB·English
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UNDERSTANDING EDITORIAL TEXT: A Computer Model of Argument Comprehension THE KLUWER INTERNATIONAL SERIES IN ENG~GANDCO~UTERSCIENCE NATURAL LANGUAGE PROCESSING AND MACHINE TRANSLATION Consulting Editor Jaime Carbonell Other books in the series: EFFICIENT PARSING FOR NATURAL lANGUAGE: A FAST ALGORITIIM FOR PRACTICAL SYSTEMS, M. Tomita ISBN 0-89838-202-5 A NATURAL lANGUAGE INTERFACE FOR COMPUTER AIDED DESIGN, T.Samad ISBN 0-89838-222-X IN1EGRATED NATURAL lANGUAGE DIALOGUE: A COMPUTATIONAL MODEL, R.E. Frederking ISBN 0-89838-255-6 NAIVE SEMANTICS FOR NATURAL LANGUAGE UNDERSTANDING, K. Dahlgren ISBN 0-89838-287-4 UNDERSTANDING EDITORIAL TEXT: A Computer Model of Argument Comprehension by Sergio J. Alvarado University of California, Davis ~. " KLUWER ACADEMIC PUBLISHERS BostonlDordrechtiLondon Distributors (or North America: K1uwer Academic Publishers 101 Philip Drive Assinippi Park Norwell, Massachusetts 02061 USA Distributors (or all others <:ouatrit:s: K1uwer Academic Publishers Group Distribution Centre Post Office Box 322 3300 AH Oordrecht, THE NETIlERLANOS Ubrary of Coagreu CatalogiDg-iD·PublkatloD Data Alvarado, Sergio Jose, 1957- Understanding editorial text: a computer model of argument comprehension / by Sergio J. Alvarado. p. crn. - (Kluwer international series in engineering and computer science) Originally presented as the author's thesis (Ph. D.)-University of California, Los Angeles. Includes bibliographical references and indelt. ISBN·I3: 978-1-4612-8836-7 e-ISUN-13: 978-1-4613-1561-2 001: 10.1007/978-1-4613-1561-2 1. Editorials-Data processing. 2. Natural language processing (Computer 5cience) 3. Teltt processing (Computer science) 1. Title. II. Series. PN4784.E28A48 1990 006.3-dc20 90-4813 CIP CoPyriKhl © 1990 by Kluwer Academic Publishers Softco\'cr rcprint ofthc hardco\'er 1st edition 1990 All rights reserved. No pan of this publication may be reproduced, stored in a retriev<l1 system or transmitted in any form orby any means, mechanical, pholo-copying, recording, or otherwise, without the prior written permission of the publisher, Kluwer Academic Publishers, 101 Philip Drive, Assinippi Park, Norwell, Massachusetts 02061. To Ingrid Table of Contents LI·S t 0 fF'1 9ures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. X.U..l List of Tables ................................................................ xvii Foreword by Michael G. Dyer. ............................................ xix Preface ....................................................................... xxiii Ackn ow I e dgmen ts ........................................................... xxv 1. The Nature of Argument Comprehension. .............................. 1 1.1. Introduction .......................................................... 1 1.2. Argument Comprehension in OpEd ............................... 2 1.2.1. Domain-Specific Knowledge ............................. 5 1.2.2. Beliefs and Belief Relationships .......................... 7 1.2.3. Causal Chains of Reasoning .............................. 8 1.2.4. Abstract Knowledge of Argumentation .................. 9 1.2.5. Conceptual Representation of Arguments ............. 10 1.2.6. Memory Retrieval ........................................ 12 1.3. Scope of OpEd .................................................... 14 1.4. Architecture of OpEd ........ . .. . .. ... .. . . .. .. . . .. . .. . .. . . . . .. . ... 19 1.5. Contents of the Dissertation ...................................... 22 2. Representing Politico-Economic Knowledge ......................... 25 2.1. Introduction ........................................................ 25 2.2. Politico-Economic Conflicts ..................................... 27 2.2.1. Basic Socials Acts and Authority Triangles ........... 28 2.2.2. Modeling Situations of Protectionism With Authority Triangles ...................................... 30 viii UNDERSTANDING EDITORIAL 1EXT 2.2.3. Beliefs and Goals Associated With Situations of Protectionism ............................................. 34 2.2.4. Organizing Conflict-Resolution Events With Plan boxes ................................................. 36 2.3. Politico-Economic Reasoning ................................... 38 2.3.1. Graph of Economic Quantities .......................... 38 2.3.2. Modeling Trade With Graphs of Economic Quantities .................................................. 40 2.3.3. Modeling Reasoning About Protectionism With Reasoning Scripts ........................................ 42 2.4. Summary ............................................................ 48 3. Beliefs and Belief Relationships ....................................... 49 3.1. Introduction ................................................... , .... 49 3.2. Belief Representation ............................................. 52 3.3. Attack Relationships .............................................. 56 3.3.1. Attacks Based on Mutually-Exclusive Planning Situations .................................................. 57 3.3.2. Attacks Based on Opposite Effects on Interrelated Goals ........................................ 58 3.4. Support Relationships ............................................ 61 3.4.1. Supports Based on Refinements of Plan Evaluations ................................................ 62 3.4.2. Supports Based on Refinements of Plan-Goal Relationships ............................................. 66 3.4.3. Supports Based on Analogies .......................... 75 3.4.4. Supports Based on Examples ........................... 77 3.5. Summary ........................................................... 79 4. Argument Units .......................................................... 81 4. 1. Introduction ........................................................ 81 4.2. Taxonomy of Argument Units ................................... 84 4.2.1. Argument Units Based on Unrealized Successes .... 84 4.2.2. Argument Units Based on Realized Failures .......... 93 4.2.3. Argument Units Based on Realized Successes ...... 101 4.2.4. Argument Units Based on Unrealized Failures ...... 105 4.3. Representing Editorials With Configurations of Argument Units .................................................. 111 4.4. Generality of Argument Units .................................. 113 4.4.1. Language-Independent Nature of Argument Units ...................................................... 114 TABLE OF CONTENTS ix 4.4.2. Domain-Independent Nature of Argument UnitS .... 117 4.5. Summary .......................................................... 119 5. Meta-Arguntellt Units .................................................. 121 5 . 1. Introduction ....................................................... 121 5.2. Meta-Argument Units Based on Hypocritical Behavior ..... 123 5.2.1. Inconsistencies Between Actions and Professed Beliefs .................................................... 123 5.2.2. Inconsistencies Between Actions and Criticisms .... 126 5.2.3. Hypocritical Behavior and Expectation Failures ..... 128 5.2.4. Hypocritical Behavior in Multiple Domains .......... 130 5.3. Meta-Argument Units Based on Unsound Reasoning ....... 132 5.3.1. Burden of Proof ......................................... 132 5.3.2. Plausibility ............................................... 135 5.3.3. Tautology ................................................ 136 5.3.4. Self-Contradiction ....................................... 138 5.3.5. Reasoning Errors in Multiple Domains ............... 140 5.4. Summary .......................................................... 141 6. Recognizing Argument Structures .................................... 143 6. 1. Introduction ....................................................... 143 6.2. Recognizing Evaluative Beliefs From Explicit Standpoints ....................................................... 145 6.3. Recognizing Evaluative Beliefs From Emotional Reactions .......................................................... 146 6.4. Recognizing Causal Beliefs From Evaluative Beliefs ........ 147 6.5. Recognizing Reasoning Scripts From Causal Beliefs ....... 150 6.6. Recognizing Argument Units From Linguistic Constructs ......................................................... 154 6.6.1. Contradictory-Effect Construct. ....................... 154 6.6.2. Expectation-Failure Construct ......................... 157 6.6.3. Argument-Evaluation COnstruct. ...................... 160 6.7. Recognizing Argument Units From Plan-Failure Beliefs ... 164 6.8. Summary .......................................................... 167 7. Memory Search and Retrieval ......................................... 169 7. 1. Introduction ...................................................... , 169 7.2. Organizing and Indexing Editorial Memory ................... 171 7.3. Retrieving Information From Editorial Memory .............. 177 7.3.1. Belief-Holder Questions ................................ 181 x UNDERSTANDING EDITORIAL TEXT 7.3.2. Causal-Belief Questions ................................ 182 7.3.3. Belief-Justification Questions .......................... 185 7.3.4. AffectlBelief Questions ................................. 188 7.3.5. Top-Belief/AU Questions .............................. 190 7.4. Summary .......................................................... 192 8. Annotated Example of the OpEd System. ............................ 195 8.1. Introduction ....................................................... 195 8.2. Editorial-Comprehension Trace ................................ 197 8.2.1. First Sentence ............................................ 198 8.2.2. Second Sentence ........................................ 206 8.2.3. Third Sentence ........................................... 215 8.2.4. Fourth Sentence ......................................... 221 8.2.5. Fifth Sentence ........................................... 229 8.2.6. Sixth Sentence ........................................... 235 8.2.7. Seventh Sentence ........................................ 241 8.2.8. Eighth Sentence ......................................... 244 8.3. Question-Answering Traces .................................... 246 8.3.1. Belief-Holder Question ................................. 247 8.3.2. Causal-Belief Question ................................. 249 8.3.3. Belief-Justification Question ........................... 252 8.3.4. AffectlBelief Question .................................. 254 8.3.5. Top-Belief/AU Question ............................... 256 8.4. Current Status of OpEd .......................................... 259 9. Future Work and Conclusions .. 261 0"0 .................................... 9. 1. Introduction ....................................................... 261 9.2. Comparison With Other Work .................................. 262 9.2.1. Argument Analysis in Rhetoric ........................ 263 9.2.2. FonnallLogical Approaches to Belief Systems ...... 264 9.2.3. Artificial Intelligence Approaches to Argument Comprehension .......................................... 264 9.2.4. Psycholinguistic Analysis of Editorial Text .......... 267 9.3. Future Work ...................................................... 268 9.3 .1. Long-Term Memory Organization of Arguments ... 268 9.3.2. Subjective Comprehension of Arguments ............ 269 9.3.3. Belief Inferences Based on Past Arguments ......... 270 9.3.4. Modeling Persuasion ................................... 270 9.3.5. Meta-Argument Comprehension ...................... 271 9.3.6. Knowledge Engineering Bottlenecks ................. 271 TABLE OF CONTENTS xi 9.4. Summary and Conclusions ..................................... 272 References .................................................................... 275 Index .......................................................................... 287

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by Michael G. Dyer Natural language processing (NLP) is an area of research within Artificial Intelligence (AI) concerned with the comprehension and generation of natural language text. Comprehension involves the dynamic construction of conceptual representations, linked by causal relationships and
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