A symbolic and connectionist approach to legal information retrieval:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | Undetermined |
| Veröffentlicht: |
Hillsdale, NJ
Erlbaum
1994
|
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVI, 314 S. Ill. |
| ISBN: | 0805813888 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV025980439 | ||
| 003 | DE-604 | ||
| 005 | 20091016000000.0 | ||
| 007 | t | ||
| 008 | 950410s1994 a||| |||| 00||| und d | ||
| 020 | |a 0805813888 |c 68,95 US |$ 90-8058-1388-8 | ||
| 035 | |a (OCoLC)831396758 | ||
| 035 | |a (DE-599)BVBBV025980439 | ||
| 040 | |a DE-604 |b ger | ||
| 041 | |a und | ||
| 049 | |a DE-525 | ||
| 082 | 0 | |a 343.730999 | |
| 100 | 1 | |a Rose, Daniel E. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a A symbolic and connectionist approach to legal information retrieval |c Daniel E. Rose |
| 264 | 1 | |a Hillsdale, NJ |b Erlbaum |c 1994 | |
| 300 | |a XVI, 314 S. |b Ill. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 856 | 4 | 2 | |m GBV Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020363733&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-020363733 | ||
Datensatz im Suchindex
| _version_ | 1804142993739874304 |
|---|---|
| adam_text | A SYMBOLIC AND CONNECTIONIST APPROACH TO LEGAL INFORMATION RETRIEVAL
DANIEL E. ROSE ADVANCED TECHNOLOGY GROUP APPLE COMPUTER, INC. LAWRENCE
ERLBAUM ASSOCIATES, PUBLISHERS 1994 HILLSDALE, NEW JERSEY HOVE, UK
CONTENTS LIST OF FIGURES IX LIST OF TABLES XIII PREFACE XV 1
INTRODUCTION 1 1.1 AN INTERDISCIPLINARY APPROACH TO FINDING INFORMATION
. . 2 1.2 CENTRAL THEMES 3 1.2.1 LAW AS A PROBLEM DOMAIN 3 1.2.2
CONNECTIONIST/SYMBOLIC HYBRIDS 4 1.2.3 TEXT AS KNOWLEDGE REPRESENTATION
4 1.2.4 THE ROLE OF THE USER 5 1.3 GOALS OF THE RESEARCH 5 1.4 A SKETCH
OF THE SCALIR APPROACH 6 1.5 A PREVIEW OF THINGS TO COME 9 2 HUMANS,
COMPUTERS, AND FINDING INFORMATION 11 2.1 ARCHIVES, LIBRARIES, AND IR
SYSTEMS 12 2.2 A BASELINE FOR IR INTERACTION 13 2.3 SEEING CONNECTIONS
20 2.3.1 WHAT S IN A TRAIL? 20 2.3.2 TO AIR IS HUMAN 21 2.4 METHODS OF
INQUIRY 22 2.4.1 QUERY BY EXAMPLE 22 2.4.2 RETRIEVAL BY REFORMULATION 25
2.5 BROWSING 26 2.6 ADAPTATION 28 2.7 IMPLEMENTATION-LEVEL INTERFACE
ISSUES 30 2.8 WHO S IN CHARGE HERE? 32 III IV CONTENTS 2.9 A FRAMEWORK
FOR INTERACTION WITH AN ER SYSTEM 34 3 KNOWLEDGE REPRESENTATION,
MEANING, AND TEXT IN AI 37 3.1 CHARACTERIZATIONS OF AI 38 3.1.1
CONNECTIONISM AS AI 38 3.2 DESIDERATA FOR KNOWLEDGE REPRESENTATIONS 40
3.2.1 AVOIDING THE ACQUISITION BOTTLENECK 41 3.2.2 LEARNABILITY 42 3.2.3
COMPREHENSIBILITY 43 3.2.4 INFORMABILITY 44 3.2.5 ADAPTIVITY 44 3.2.6
UNBOUNDED DEPTH 45 3.3 SEMANTIC AND CONNECTIONIST NETWORKS 46 3.3.1
REPRESENTING KNOWLEDGE IN SEMANTIC NETWORKS . . 46 3.3.2 REPRESENTING
KNOWLEDGE IN CONNECTIONIST NETWORKS 50 3.4 REPRESENTATION AND MEANING 52
3.4.1 GROUNDING BY OBSERVATION 54 3.4.2 GROUNDING BY COMMUNICATION 55 4
APPROACHES TO INFORMATION RETRIEVAL 59 4.1 THE INFORMATION RETRIEVAL
TASK 59 4.2 THE TWO CLASSICAL APPROACHES 63 4.2.1 INVERTED FILES 64
4.2.2 THE VECTOR MODEL 65 4.3 STANDARD EVALUATION TECHNIQUES 67 4.3.1
RETRIEVAL ERRORS 68 4.3.2 THE RECALL AND PRECISION MEASURES 69 4.4
RETHINKING THE CLASSICS 71 4.5 VARIATIONS AND ALTERNATIVES 76 4.5.1
THESAURUS CONSTRUCTION 76 4.5.2 NATURAL LANGUAGE PROCESSING 78 4.5.3
RELEVANCE FEEDBACK 80 4.5.4 DYNAMIC DOCUMENT SPACE 82 4.5.5
PROBABILISTIC RETRIEVAL 83 4.5.6 GENETIC ADAPTATION 84 4.5.7 PARALLEL
IMPLEMENTATIONS 85 4.5.8 LATENT SEMANTIC INDEXING 86 4.5.9 SPREADING
ACTIVATION AND CONNECTIONISM 89 4.6 TAKING STOCK 91 CONTENTS V 5 SOME
PERSPECTIVES ON THE LAW AND LEGAL RESEARCH 93 5.1 THEIR WORD IS LAW 93
5.2 LEGAL PHILOSOPHY: FORMALISM VS. REALISM 95 5.3 THE DUAL NATURE OF
THE LEGAL SYSTEM 98 5.3.1 SYMBOLIC CHARACTERISTICS OF LAW 98 5.3.2
CONNECTIONIST CHARACTERISTICS OF LAW 102 5.4 LEGAL RESEARCH 103 5.4.1
RESEARCH RESOURCES 103 5.4.2 MANUAL RESEARCH 104 5.5 LEGAL INFORMATION
RETRIEVAL 106 5.5.1 A BRIEF HISTORY OF COMPUTER-ASSISTED LEGAL RESEARCH
106 5.5.2 WHAT S DIFFERENT ABOUT LEGAL IR? 108 5.5.3 PROGRESS TOWARD
CONCEPTUAL LEGAL IR 109 5.5.4 PROBLEMS WITH THE TRADITIONAL AI APPROACH
.... 116 5.5.5 WHAT ARE THE ALTERNATIVES? 117 5.6 COPYRIGHT LAW:
BRIEFEST COURSE 118 6 HYBRID VIGOR 123 6.1 THE TRANSDUCTION MODEL 123
6.2 SYMBOLIC PROCESSING 124 6.3 SUB-SYMBOLIC PROCESSING 126 6.3.1
LEARNING AS DATA-MODULATION 129 6.3.2 THE LOCALIST/DISTRIBUTED
CONTROVERSY 130 6.4 TYPES OF HYBRID SYSTEMS 133 6.5 THE
SYMBOLIC/SUB-SYMBOLIC CONTINUUM 135 6.6 MOTIVATION FOR HYBRID APPROACHES
137 6.7 PROBLEMS WITH HYBRIDS 141 6.8 SCALIR AS A HYBRID SYSTEM 143
6.8.1 SCALIR AS A SUB-SYMBOLIC SYSTEM 143 6.8.2 SCALIR AS A SYMBOLIC
SYSTEM 145 6.9 AVOIDING ONE-PARADIGM REDUCRIONISM 146 7 THE STRUCTURE OF
SCALIR 149 7.1 A BRIEF OVERVIEW 150 7.2 THE ORIGIN AND CONTENTS OF
SCALIR NODES 151 7.3 MULTIPLE LINK CLASSES 156 7.3.1 C-LINKS 156 7.3.2
S-LINKS 158 7.3.3 H-LINKS 161 7.4 NETWORK STATISTICS 165 VI CONTENTS 8
THE RETRIEVAL PROCESS 171 8.1 AN ACTIVATION-BASED VIEW OF RETRIEVAL 171
8.2 GENERAL ACTIVATION ISSUES 172 8.2.1 INTERACTIVE ACTIVATION FOR IR
175 8.2.2 ACTIVATION IN AIR 176 8.3 SCALIR S RETRIEVAL ALGORITHM 178
8.3.1 CONSERVATION OF ACTIVITY 178 8.3.2 SIGNIFICANCE AND QUIESCENCE 180
8.3.3 TAPERED SEARCH 183 8.3.4 EVOLUTION OF THE ACTIVATION FUNCTION 185
8.3.5 THE RETRIEVAL ALGORITHM 186 8.4 HYBRID ACTIVITY PROPAGATION 188
8.5 ANTIRELEVANCE AND THE BUT NOT OPERATOR 195 8.6 SYMBOLIC QUERIES
196 9 FEEDBACK AND LEARNING 201 9.1 CHOOSING A LEARNING APPROACH 201 9.2
HYBRID LEARNING AND THE CREDIT ASSIGNMENT PROBLEM . . . 204 9.3 LEARNING
RULES THAT USE FEEDBACK 205 9.4 A SIMULATION OF LEARNING FROM FEEDBACK
207 9.5 SCALIR S LEARNING RULE 212 9.5.1 HOW ACTIVITY AND FEEDBACK ARE
MEASURED 212 9.5.2 EXTENSIONS FOR VECTOR-VALUED ACTIVITY 214 9.5.3
DAMPING, NORMALIZATION, AND LEARNING RATE .... 214 9.5.4 NEGATIVE
FEEDBACK AND ANTI-ACTIVITY 217 9.6 DEMONSTRATIONS OF LEARNING 217 9.6.1
A VERY SIMPLE NETWORK 218 9.6.2 A TWO-LAYER RECURRENT NETWORK 219
9.6.3 AN H-LINK NETWORK 221 9.7 ONE-SHOT LEARNING 222 9.8 MICRO- AND
MACRO-EXPERIMENTS 223 10 INTERACTING WITH SCALIR 225 10.1 HOW SCALIR
LOOKS TO THE USER 225 10.1.1 INITIAL QUERIES 227 10.1.2 SPECIFYING
SYMBOLIC RELATIONSHIPS 230 10.1.3 THE RETRIEVAL DISPLAY 232 10.1.4
BROWSING 234 10.2 USER TESTING 236 10.2.1 GENERAL (NON-SCALIR) INTERFACE
ISSUES 239 10.2.2 LOW-LEVEL INTERACTION ISSUES 239 10.2.3 MAJOR DESIGN
ISSUES 241 CONTENTS VII 10.2.4 PRECONCEPTIONS AND MISCONCEPTIONS FROM
CALR . . 244 10.3 ASSESSING THE INTERFACE 245 10.3.1 SUMMARIZING SCALIR
INTERACTION ATTRIBUTES .... 245 10.3.2 DIRECT MANIPULATION REVISITED 246
10.3.3 INSTANTIATING THE FRAMEWORK 247 11 PERFORMANCE EVALUATION 251
11.1 SCALIR ALONE 252 11.2 SCALIR V. WESTLAW 255 11.2.1 GENERATING THE
QUERIES 256 11.2.2 PERFORMING THE SEARCHES 257 11.2.3 SPECIFIC
COMPARISONS 259 11.2A A QUANTITATIVE EVALUATION PROCEDURE 260 11.2.5
QUESTIONNAIRE RESULTS 263 11.3 SCALIR BEFORE AND AFTER LEARNING 265
11.3.1 QUALITATIVE LEARNING PHENOMENA 266 11.3.2 SPECIFIC IMPROVEMENTS
268 11.3.3 CHANGES IN ASSOCIATIVE COUPLING 270 11.3.4 (IN)VALIDITY OF
A QUESTIONNAIRE EVALUATION OF LEARNING 271 11.4 EVALUATING THE
EVALUATION 273 12 DISCUSSION 275 12.1 THE RESEARCH GOALS, REVISITED 275
12.1.1 IMPROVING LEGAL INFORMATION RETRIEVAL 275 12.1.2 FEASIBILITY OF
HYBRID AI SYSTEMS 277 12.1.3 IR FOR NATURAL LANGUAGE 278 12.2 OTHER
CONSIDERATIONS 279 12.2.1 SCALIR AND IR RESEARCH 279 12.2.2 SCALING AND
INCREMENTAL MODIFICATION 280 12.2.3 SCALIR, LEARNING, AND THE LAW FIRM
281 12.2.4 USER SATISFACTION AND SYSTEM PERFORMANCE 282 12.3 FUTURE
DIRECTIONS 283 12.3.1 GENERALIZING TO OTHER DOMAINS 283 12.3.2 ANALOGY
AND LEGAL REASONING 284 12.4 CONCLUSION 287 REFERENCES 289 AUTHOR INDEX
307 SUBJECT INDEX 309
|
| any_adam_object | 1 |
| author | Rose, Daniel E. |
| author_facet | Rose, Daniel E. |
| author_role | aut |
| author_sort | Rose, Daniel E. |
| author_variant | d e r de der |
| building | Verbundindex |
| bvnumber | BV025980439 |
| ctrlnum | (OCoLC)831396758 (DE-599)BVBBV025980439 |
| dewey-full | 343.730999 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 343 - Military, tax, trade & industrial law |
| dewey-raw | 343.730999 |
| dewey-search | 343.730999 |
| dewey-sort | 3343.730999 |
| dewey-tens | 340 - Law |
| discipline | Rechtswissenschaft |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01010nam a2200277zc 4500</leader><controlfield tag="001">BV025980439</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20091016000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">950410s1994 a||| |||| 00||| und d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0805813888</subfield><subfield code="c">68,95 US </subfield><subfield code="$">90-8058-1388-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)831396758</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV025980439</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">und</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-525</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">343.730999</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rose, Daniel E.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A symbolic and connectionist approach to legal information retrieval</subfield><subfield code="c">Daniel E. Rose</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hillsdale, NJ</subfield><subfield code="b">Erlbaum</subfield><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVI, 314 S.</subfield><subfield code="b">Ill.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">GBV Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020363733&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-020363733</subfield></datafield></record></collection> |
| id | DE-604.BV025980439 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:40:36Z |
| institution | BVB |
| isbn | 0805813888 |
| language | Undetermined |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020363733 |
| oclc_num | 831396758 |
| open_access_boolean | |
| owner | DE-525 |
| owner_facet | DE-525 |
| physical | XVI, 314 S. Ill. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Erlbaum |
| record_format | marc |
| spelling | Rose, Daniel E. Verfasser aut A symbolic and connectionist approach to legal information retrieval Daniel E. Rose Hillsdale, NJ Erlbaum 1994 XVI, 314 S. Ill. txt rdacontent n rdamedia nc rdacarrier GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020363733&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Rose, Daniel E. A symbolic and connectionist approach to legal information retrieval |
| title | A symbolic and connectionist approach to legal information retrieval |
| title_auth | A symbolic and connectionist approach to legal information retrieval |
| title_exact_search | A symbolic and connectionist approach to legal information retrieval |
| title_full | A symbolic and connectionist approach to legal information retrieval Daniel E. Rose |
| title_fullStr | A symbolic and connectionist approach to legal information retrieval Daniel E. Rose |
| title_full_unstemmed | A symbolic and connectionist approach to legal information retrieval Daniel E. Rose |
| title_short | A symbolic and connectionist approach to legal information retrieval |
| title_sort | a symbolic and connectionist approach to legal information retrieval |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020363733&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT rosedaniele asymbolicandconnectionistapproachtolegalinformationretrieval |