Modeling, learning, and processing of text-technological data structures:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2011
|
| Schriftenreihe: | Studies in computational intelligence
370 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XV, 396 S. graph. Darst. 24 cm |
| ISBN: | 9783642226120 3642226124 |
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Datensatz im Suchindex
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IMAGE 1
CONTENTS
1 INTRODUCTION: MODELING, LEARNING AND PROCESSING OF TEXT-TECHNOLOGICAL
DATA STRUCTURES 1
ALEXANDER ME HIER, KAI-UWE KUEHNBERGER, HENNING LOBIN, HARALD LUNGEN,
ANGELIKA STORRER, ANDREAS WITT 1.1 TEXTUAL UNITS AS DATA STRUCTURES 1
1.2 OVERVIEW OF THE BOOK 3
1.2.1 TEXT PARSING: DATA STRUCTURES, ARCHITECTURE AND EVALUATION 3
1.2.2 MEASURING SEMANTIC DISTANCE: METHODS, RESOURCES, AND APPLICATIONS
4
1.2.3 FROM TEXTUAL DATA TO ONTOLOGIES, FROM ONTOLOGIES TO TEXTUAL DATA 5
1.2.4 MULTIDIMENSIONAL REPRESENTATIONS: SOLUTIONS FOR COMPLEX MARKUP 6
1.2.5 DOCUMENT STRUCTURE LEARNING 8
1.2.6 INTERFACING TEXTUAL DATA, ONTOLOGICAL RESOURCES AND DOCUMENT
PARSING 9
REFERENCES 11
PART I: TEXT PARSING: DATA STRUCTURES, ARCHITECTURE AND EVALUATION
2 THE MOTS WORKBENCH 15
MANFRED STEDE, HEIKE BIETER 2.1 INTRODUCTION AND OVERVIEW 15
2.2 BACKGROUND: NATURAL LANGUAGE PROCESSING FRAMEWORKS 17 2.3 THE PAULA
XML FORMAT 19
2.3.1 PAULA: LOGICAL STRUCTURE 20
2.3.2 PAULA: PHYSICAL STRUCTURE 20
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/101289228X
DIGITALISIERT DURCH
IMAGE 2
VI CONTENTS
2.4 PROCESSING PIPELINE 22
2.4.1 NORMALIZED INPUT FORMAT: LDOC 23
2.4.2 TOKENIZATION 25
2.4.3 CONVERSION TO PAULA 25
2.4.4 INTEGRATING ANALYSIS COMPONENTS 25
2.5 ANALYSIS COMPONENTS 26
2.6 USER INTERFACE 28
2.6.1 XML INLINE REPRESENTATION 29
2.6.2 VISUALIZATION 30
2.7 CURRENT DEVELOPMENTS AND CONCLUSION 31
REFERENCES 33
3 PROCESSING TEXT-TECHNOLOGICAL RESOURCES IN DISCOURSE PARSING 35
HENNING LOBIN, HARALD LUNGEN, MIRCO HUBERT, MAJA BAERENFAENGER 3.1
INTRODUCTION 35
3.2 CORPUS 37
3.3 ARCHITECTURE 39
3.4 PARSER 40
3.4.1 INITIALISATION 40
3.4.2 CASCADE STEP 41
3.4.3 GENERIC ANNOTATION PARSER (GAP) 43
3.4.4 TRAVERSING THE CHART 52
3.5 EVALUATION 52
3.6 CONCLUSION 54
REFERENCES 56
PART II: MEASURING SEMANTIC DISTANCE: METHODS, RESOURCES, AND
APPLICATIONS
4 SEMANTIC DISTANCE MEASURES WITH DISTRIBUTIONAL PROFILES OF
COARSE-GRAINED CONCEPTS 61
GRAEME HIRST, SAIF MOHAMMAD 4.1 SEMANTIC DISTANCE 61
4.2 MEASURES OF SEMANTIC DISTANCE 63
4.3 A HYBRID METHOD FOR SEMANTIC DISTANCE MEASURES 65
4.4 EVALUATION IN MONOLINGUAL APPLICATIONS 66
4.5 EXTENSION TO CROSS-LINGUAL APPLICATIONS 69
4.5.1 METHOD 69
4.5.2 EVALUATION 69
4.6 ANTONYMY AND WORD OPPOSITION 72
4.6.1 CONTRASTING CATEGORIES 74
4.6.2 DEGREE OF ANTONYMY 75
4.6.3 EVALUATION 75
4.7 CONCLUSION 76
REFERENCES 77
IMAGE 3
CONTENTS VII
5 COLLECTING SEMANTIC SIMILARITY RATINGS TO CONNECT CONCEPTS IN
ASSISTIVE COMMUNICATION TOOLS 81
SONYA NIKOLOVA, JORDAN BOYD-GRABER, CHRISTIANE FELLBAUM 5.1 BACKGROUND
AND MOTIVATION 81
5.1.1 APHASIA 82
5.1.2 VIVA: VISUAL VOCABULARY FOR APHASIA 82
5.2 THE DESIGN OF VIVA 83
5.3 THE ORGANIZATION OF WORDS 84
5.3.1 W O R D N ET AND EVOCATION 85
5.4 BUILDING THE VISUAL VOCABULARY FOR APHASIA 86
5.4.1 COLLECTING INEXPENSIVE RATINGS FROM UNTRAINED ANNOTATORS 87
5.4.2 METHOD 87
5.5 RESULTS 88
5.6 DISCUSSION 90
REFERENCES 91
PART III: FROM TEXTUAL DATA TO ONTOLOGIES, FROM ONTOLOGIES TO TEXTUAL
DATA
6 AN INTRODUCTION TO HYBRID SEMANTICS: THE ROLE OF COGNITION IN SEMANTIC
RESOURCES 97
ALESSANDRO OLTRAMARI 6. 1 INTRODUCTION 97
6.2 STATICS AND DYNAMICS OF COGNITION 98
6.3 FROM CONCEPTUALIZATION TO SPECIFICATION: THE ONTOLOGICAL LEVEL 100
6.4 BUILDING 'HYBRID' SEMANTIC TECHNOLOGIES 102
6.5 THE PROJECT OF A COLLABORATIVE HYBRID SEMANTIC RESOURCE 103 6.6
CONCLUSION 107
REFERENCES 108
7 MODAL LOGIC FOUNDATIONS OF MARKUP STRUCTURES IN ANNOTATION SYSTEMS I
LL
MARCUS KRACHT 7.1 INTRODUCTION I LL
7.2 SOME ELEMENTS OF MODAL LOGIC 112
7.3 CLASSES OF MODELS 115
7.4 MODAL LOGIC AND DOMS 117
7.5 XPATH 120
7.6 PATHS IN DYNAMIC LOGIC 123
7.7 CONCLUSION 126
REFERENCES 126
IMAGE 4
VIII CONTENTS
8 ADAPTATION OF ONTOLOGICAL KNOWLEDGE FROM STRUCTURED TEXTUAL DATA 129
TONIO WANDMACHER, EKATERINA OVCHINNIKOVA, UWE MOENNICH, JENS MICHAELIS,
KAI-UWE KUEHNBERGER 8.1 INTRODUCTION 129
8.1.1 PROJECT CONTEXT 131
8.2 THEORETICAL BACKGROUND 131
8.2.1 ANNOTATION GRAPHS AND THEIR LOGICAL REPRESENTATION 131
8.2.2 ONTOLOGIES AND DESCRIPTION LOGICS 134
8.3 AUTOMATIC EXTRACTION OF ONTOLOGICAL KNOWLEDGE FROM TEXTS . . . 135
8.3.1 EXISTING APPROACHES IN ONTOLOGY LEARNING 135
8.4 OUR PROPOSAL 138
8.5 AXIOM REWRITING PROCEDURE 141
8.5.1 TRANSFORMING TEXTUAL INPUT INTO OWL AXIOMS 141 8.5.2 DISCUSSION
144
8.6 ADAPTIVITY 145
8.6.1 TERMINOLOGICAL INCONSISTENCY 146
8.6.2 ADAPTATION PROCEDURE 147
8.7 CONCLUSIONS AND FUTURE WORK 150
REFERENCES 151
PART IV: MULTIDIMENSIONAL REPRESENTATIONS: SOLUTIONS FOR COMPLEX MARKUP
9 TEN PROBLEMS IN THE INTERPRETATION OF XML DOCUMENTS 157 CM.
SPERBERG-MCQUEEN, CLAUS HUITFELDT 9.1 BACKGROUND 157
9.1.1 DERIVATION OF INFERENCES 158
9.1.2 AN EXAMPLE 160
9.2 THE TEN PROBLEMS 161
9.2.1 THE ARITY OF STATEMENTS 161
9.2.2 THE FORM OF INFERENCE RULES 162
9.2.3 DEIXIS 163
9.2.4 INHERITANCE 164
9.2.5 OVERRIDING 165
9.2.6 CONFLICT AND UNION 167
9.2.7 MILESTONES 168
9.2.8 THE UNIVERSE OF DISCOURSE 168
9.2.9 DEFINITE DESCRIPTIONS AND MULTIPLE REFERENCES TO THE SAME
INDIVIDUAL 170
9.2.10 CERTAINTY AND RESPONSIBILITY 172
REFERENCES 173
IMAGE 5
CONTENTS IX
10 MARKUP INFRASTRUCTURE FOR THE ANAPHORIC BANK: SUPPORTING WEB
COLLABORATION 175
MASSIMO POESIO, NILS DIEWALD, MAIK STIIHRENBERG.JON CHAMBERLAIN, DANIEL
JETTKA, DANIELA GOECKE, UDO KRUSCHWITZ 10.1 INTRODUCTION 175
10.2 HOW DATA IS ADDED TO THE ANAPHORIC BANK 177
10.2.1 FILTERING CRITERIA 177
10.2.2 DATA THAT HAS ALREADY BEEN ANNOTATED 178
10.2.3 USING THE EXPERT ANNOTATION TOOL 178
10.2.4 USING A NON-EXPERT ANNOTATION GAME 181
10.3 ARCHITECTURE FOR THE ANAPHORIC BANK 184
10.3.1 S G F - T HE XML ARCHITECTURE PART 184
10.3.2 DATABASE FORMAT 190
10.4 CONCLUSION 192
REFERENCES 193
11 INTEGRATED LINGUISTIC ANNOTATION MODELS AND THEIR APPLICATION IN THE
DOMAIN OF ANTECEDENT DETECTION 197
ANDREAS WITT, MAIK STUEHRENBERG, DANIELA GOECKE, DIETER METZING 11.1
INTRODUCTION 197
11.2 ANAPHORA RESOLUTION 200
11.3 LOGICAL DOCUMENT STRUCTURE 201
11.3.1 WHAT IS LOGICAL DOCUMENT STRUCTURE? 201
11.3.2 APPLICATION OF LOGICAL DOCUMENT STRUCTURE FOR LINGUISTIC TASKS
202
11.3.3 XML-ANNOTATION OF LOGICAL DOCUMENT STRUCTURE 204 11.4 INTEGRATION
OF RESOURCES 204
11.4.1 REPRESENTATION FORMATS 205
11.4.2 SEKIMO GENERIC FORMAT AND XSTANDOFF 207
11.4.3 ANTECEDENT CANDIDATE LIST 209
11.5 RESULTS OF A CORPUS STUDY 210
11.6 CONCLUSION 214
REFERENCES 215
PART V: DOCUMENT STRUCTURE LEARNING
12 MACHINE LEARNING FOR DOCUMENT STRUCTURE RECOGNITION 221 GERHARD PAASS,
LULIU KONYA 12.1 INTRODUCTION 221
12.2 DOCUMENT ANALYSIS FOR LARGE-SCALE PROCESSING 222
12.2.1 GEOMETRIC LAYOUT ANALYSIS 224
12.2.2 LOGICAL LAYOUT ANALYSIS 227
12.2.3 MINIMUM SPANNING TREE-BASED LOGICAL LAYOUT ANALYSIS 229
12.2.4 EVALUATION 231
IMAGE 6
X CONTENTS
12.3 ESTIMATING DOCUMENT STRUCTURE BY CONDITIONAL RANDOM FIELDS 236
12.3.1 BASIC MODEL 236
12.3.2 APPLICATION OF LINEAR-CHAIN CRFS TO STRUCTURE INFORMATION
EXTRACTION 239
12.3.3 DISCRIMINATIVE PARSING MODELS 240
12.3.4 GRAPH-STRUCTURED MODEL 241
12.4 CONCLUSION 244
REFERENCES 245
13 CORPUS-BASED STRUCTURE MAPPING OF XML DOCUMENT CORPORA: A
REINFORCEMENT LEARNING BASED MODEL 249
FRANCIS MAES, LUDOVIC DENOYER, PATRICK GALLINARI 13.1 INTRODUCTION AND
MOTIVATION 249
13.2 RELATED WORK 252
13.3 STRUCTURE MAPPING TASK 253
13.3.1 TASK DESCRIPTION 253
13.3.2 NOTATIONS 254
13.3.3 COMPLEXITY OF INFERRING AND LEARNING MAPPINGS 254 13.4
REINFORCEMENT LEARNING BASED MODEL 255
13.4.1 INFORMAL DESCRIPTION 255
13.4.2 DETERMINISTIC MARKOV DECISION PROCESS 256
13.4.3 MODELING THE POLICY 258
13.4.4 EVALUATING AND LEARNING THE POLICY 259
13.5 EXPERIMENTS 260
13.5.1 DATASETS 260
13.5.2 EVALUATION MEASURES 262
13.5.3 COMPARISON TO BASELINE MODELS 263
13.5.4 RESULTS 263
13.6 CONCLUSION 265
REFERENCES 265
14 LEARNING METHODS FOR GRAPH MODELS OF DOCUMENT STRUCTURE 267 PETER
GEIBEL, ALEXANDER MEHLER, KAI-UWE KIIHNBERGER HA INTRODUCTION 268
14.2 DIRECTED GENERALIZED TREES 269
14.3 QUANTITATIVE STRUCTURE ANALYSIS BY EXAMPLE OF WEBSITES 272 14.4
KERNEL METHODS 273
14.4.1 THE SOFT TREE KERNEL FOR GTS 274
14.4.2 THE SOFT GT KERNEL 278
14.4.3 THE INDIGO CONTEXT AND LABEL SEQUENCE KERNELS . . . 280 14.5
EXPERIMENTS 286
14.5.1 THE CORPUS 286
14.5.2 QUANTITATIVE STRUCTURE ANALYSIS 287
14.5.3 KERNEL METHODS 291
IMAGE 7
CONTENTS XI
14.6 CONCLUSION 293
REFERENCES 294
15 INTEGRATING CONTENT AND STRUCTURE LEARNING: A MODEL OF HYPERTEXT
ZONING AND SOUNDING 299
ALEXANDER MEHLER, ULLI WALTINGER 15.1 INTRODUCTION 299
15.1.1 WEBGENRE LEARNING IN A TWO-LEVEL PERSPECTIVE 300 15.1.2
THEMATIC-GENERIC TRACKING, ZONING AND SOUNDING 303 15.2 A TWO-LEVEL
MODEL OF LOGICAL WEB DOCUMENT STRUCTURES 305 15.2.1 HYPERTEXT STAGE
CLASSIFIER 306
15.2.2 HYPERTEXT STAGE GRAMMAR AND TYPE CLASSIFIER 310 15.2.3
EXPERIMENTS 310
15.3 THEMATIC-GENERIC SOUNDING IN THE WEB 314
15.4 BOUNDS OF THEMATIC SOUNDING IN WIKIPEDIA 318
15.4.1 DOMINATOR, SUCCESSOR AND TRIGGER SETS 320
15.4.2 STATISTICAL MOMENTS OF TRIGGER AND DOMINATOR SETS 324 15.5
CONCLUSION 325
REFERENCES 326
PART VI: INTERFACING TEXTUAL DATA, ONTOLOGICAL RESOURCES AND DOCUMENT
PARSING
16 LEARNING SEMANTIC RELATIONS FROM TEXT 333
GERHARD HEY ER 16.1 INTRODUCTION 333
16.2 HOW IS IT POSSIBLE TO AUTOMATICALLY PROCESS MEANING! 334 16.3 SOME
FILTERS FOR SEMANTIC RELATIONS 340
16.4 AN ARCHITECTURE FOR LEARNING SEMANTIC RELATIONS 342 REFERENCES 345
17 MODELLING AND PROCESSING WORDNETS IN OWL 347
HARALD LUNGEN, MICHAEL BEISSWENGER, BIANCA SELZAM, ANGELIKA STORRER 17.1
RESEARCH CONTEXT AND MOTIVATION 348
17.2 RESOURCES 349
17.2.1 GERMANET 349
17.2.2 TERMNET 350
17.2.3 GERMATERMNET 351
17.3 MODELLING WORDNET-LIKE RESOURCES IN OWL 352
17.3.1 BASIC OPTIONS 352
17.3.2 RELATED WORK 354
17.3.3 OWL MODELS FOR GERMANET, TERMNET, AND GERMATERMNET 355
17.4 PROCESSING WORDNET-LIKE RESOURCES IN OWL 363
IMAGE 8
XII CONTENTS
17.4.1 PROCESSING THE OWL MODELS OF TERMNET 363
17.4.2 PROCESSING THE OWL FULL VERSION OF GERMATERMNET. 369 17.5
CONCLUSION 372
REFERENCES 374
18 EXPLORING RESOURCES FOR LEXICAL CHAINING: A COMPARISON OF AUTOMATED
SEMANTIC RELATEDNESS MEASURES AND HUMAN JUDGMENTS 377
IRENE CRAMER, TONIO WANDMACHER, ULLI WALTINGER 18.1 MOTIVATION 377
18.2 LEXICAL CHAINING 378
18.3 RELATED WORK 379
18.3.1 BUDANITSKY AND HIRST 380
18.3.2 BOYD-GRABER ET AL 381
18.4 SEMANTIC RELATEDNESS MEASURES 382
18.4.1 NET-BASED MEASURES 382
18.4.2 DISTRIBUTIONAL MEASURES 385
18.4.3 WIKIPEDIA-BASED MEASURES 387
18.5 EVALUATION 387
18.5.1 METHOD 387
18.5.2 RESULTS 389
18.5.3 META-LEVEL EVALUATION 392
18.6 CONCLUSIONS AND FUTURE WORK 393
REFERENCES 394
AUTHOR INDEX 397 |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV039694609 |
| illustrated | Illustrated |
| indexdate | 2024-07-21T00:15:32Z |
| institution | BVB |
| isbn | 9783642226120 3642226124 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024543288 |
| oclc_num | 759533452 |
| open_access_boolean | |
| owner | DE-11 DE-473 DE-BY-UBG |
| owner_facet | DE-11 DE-473 DE-BY-UBG |
| physical | XV, 396 S. graph. Darst. 24 cm |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Modeling, learning, and processing of text-technological data structures Alexander Mehler ... (ed.) Berlin ; Heidelberg Springer 2011 XV, 396 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 370 Literaturangaben Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd rswk-swf Semantische Relation (DE-588)4180946-4 gnd rswk-swf Datenstruktur (DE-588)4011146-5 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Syntaktische Analyse (DE-588)4058778-2 gnd rswk-swf Dokumentverarbeitung (DE-588)4234488-8 gnd rswk-swf Textverarbeitung (DE-588)4059667-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Datenstruktur (DE-588)4011146-5 s Dokumentverarbeitung (DE-588)4234488-8 s Textverarbeitung (DE-588)4059667-9 s Natürliche Sprache (DE-588)4041354-8 s Ontologie Wissensverarbeitung (DE-588)4827894-4 s Maschinelles Lernen (DE-588)4193754-5 s Syntaktische Analyse (DE-588)4058778-2 s Semantische Relation (DE-588)4180946-4 s DE-604 Mehler, Alexander 1967- (DE-588)123141729 edt Erscheint auch als Online-Ausgabe Modeling, Learning, and Processing of Text Technological Data Structures Studies in computational intelligence 370 (DE-604)BV020822171 370 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3843041&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024543288&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Modeling, learning, and processing of text-technological data structures Studies in computational intelligence Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Semantische Relation (DE-588)4180946-4 gnd Datenstruktur (DE-588)4011146-5 gnd Natürliche Sprache (DE-588)4041354-8 gnd Syntaktische Analyse (DE-588)4058778-2 gnd Dokumentverarbeitung (DE-588)4234488-8 gnd Textverarbeitung (DE-588)4059667-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4827894-4 (DE-588)4180946-4 (DE-588)4011146-5 (DE-588)4041354-8 (DE-588)4058778-2 (DE-588)4234488-8 (DE-588)4059667-9 (DE-588)4193754-5 (DE-588)4143413-4 |
| title | Modeling, learning, and processing of text-technological data structures |
| title_auth | Modeling, learning, and processing of text-technological data structures |
| title_exact_search | Modeling, learning, and processing of text-technological data structures |
| title_full | Modeling, learning, and processing of text-technological data structures Alexander Mehler ... (ed.) |
| title_fullStr | Modeling, learning, and processing of text-technological data structures Alexander Mehler ... (ed.) |
| title_full_unstemmed | Modeling, learning, and processing of text-technological data structures Alexander Mehler ... (ed.) |
| title_short | Modeling, learning, and processing of text-technological data structures |
| title_sort | modeling learning and processing of text technological data structures |
| topic | Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Semantische Relation (DE-588)4180946-4 gnd Datenstruktur (DE-588)4011146-5 gnd Natürliche Sprache (DE-588)4041354-8 gnd Syntaktische Analyse (DE-588)4058778-2 gnd Dokumentverarbeitung (DE-588)4234488-8 gnd Textverarbeitung (DE-588)4059667-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Ontologie Wissensverarbeitung Semantische Relation Datenstruktur Natürliche Sprache Syntaktische Analyse Dokumentverarbeitung Textverarbeitung Maschinelles Lernen Aufsatzsammlung |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3843041&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024543288&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT mehleralexander modelinglearningandprocessingoftexttechnologicaldatastructures |