Natural Language Processing: Semantic Aspects
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
CRC Press
2014
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XII, 333 S. graph. Darst. |
| ISBN: | 9781466584969 1466584963 |
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MARC
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Record in the Search Index
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| adam_text | Contents
Preface
PART I: Introduction
1.
The Nature of Language
3
1.1
Syntax versus Semantics
3
1.2
Meaning and Context
8
1.3
The Symbol Grounding Problem
13
PARTII:
Mathematics
2.
Relations
19
2.1
Operations with Relations
22
2.2
Homogenous Relations
25
2.3
Order Relations
32
2.4
Lattices. Complete Lattices
34
2.5
Graphical Representation of Ordered Sets
36
2.6
Closure Systems. Galois Connections
38
3.
Algebraic Structures
43
3.1
Functions
43
3.2
Binary Operations
46
3.3
Associative Operations. Semigroups
47
3.4
Neutral Elements. Monoids
49
3.5
Morphisms
50
3.6
Invertible Elements. Groups
54
3.7
Subgroups
58
3.8
Group Morphisms
61
3.9
Congruence Relations
64
3.10
Rings and Fields
65
Natimi!
Lingimgí Processing:
Semantic
Aspects
4.
Linear Algebra
68
1.1
Vectors
68
4.2
The space
Ћп
70
4.3
Vector Spaces Over Arbitrary Fields
72
1.1
Linear and
Affine Subspaces
74
1.5
Linearly Independent Vectors. Generator Systems. Basis
79
4.5.1
Every vector space has a basis
83
4.5.2
Algorithm for computing the basis of a generated
90
sub-space
5.
Conceptual Knowledge Processing and Formal
94
Concept Analysis
5.1
Introduction
94
5.2
Context and Concept
96
5.3
Many-valued Contexts
106
5.4
Finding all Concepts
107
PART III: Knowledge Representation for NLP
6.
Measuring Word Meaning Similarity
121
6.1
Introduction
121
6.2
Baseline Methods and Algorithms
122
6.2.1
Intertwining space models and metrics
122
6.2.2
Measuring similarity
126
6.3
Summary and Main Conclusions
128
7.
Semantics and Query Languages
129
7.1
Introduction
129
7.2
Baseline Methods and Algorithms
131
7.2.1
The methodology
131
7.2.2
The theory on semantics
133
7.2.3
Automata theory and (query) languages
137
7.2.4
Exemplary algorithms and data structures
145
7.3
Summary and Major Conclusions
160
8.
Multi-Lingual Querying and Parametric Theory
162
8.1
Introduction
162
8.2
Baseline Methods and Algorithms
164
8.2.1
Background theory
164
8.2.2
An example
168
8.2.3
An indicative approach
170
8.2.4
An indicative system architecture and
174
implementation
8.3
Summary and Major Conclusions
179
Contents xi
PART IV:
Knowledge
Extraction and Engineering for NLP
9.
Word Sense Disambiguation
183
9.1
Introduction
183
9.1.1
Meaning and context
184
9.2
Methods and Algorithms:
Vectorial
Methods in WSD
186
9.2.1
Associating vectors to the contexts
186
9.2.2
Measures of similarity
188
9.2.3
Supervised learning of WSD by
vectorial
methods
189
9.2.4
Unsupervised approach. Clustering contexts by
190
vectorial
method
9.3
Methods and Algorithms: Non-vectorial Methods in WSD
192
9.3.1
Naive
Bayes
classifier approach to WSD
192
9.4
Methods and Algorithms: Bootstrapping Approach
193
of WSD
9.Õ
Methods and Algorithms: Dictionary-based
196
Disambiguation
9.5.1
Lesk s algorithms
196
9.5.2
Yarowsky s bootstrapping algorithm
197
9.5.3
WordNet-based methods
198
9.6
Evaluation of WSD Task
207
9.6.1
The benefits of WSD
209
9.7
Conclusions and Recent Research
210
10.
Text Entailment
213
10.1
Introduction
213
10.2
Methods and Algorithms: A Survey of
RTE-
1
and RTE-2
214
10.2.1
Logical aspect of
TE
216
10.2.2
Logical approaches in RTE-1 and RTE-2
218
10.2.3
The directional character of the entailment
218
relation and some directional methods in
RTE-1 and RTE-2
.
10.2.4
Text entailment recognition by similarities
220
between words and texts
10.2.5
A few words about RTE-3 and the last
RTE
223
challenges
10.3
Proposal for Direct Comparison Criterion
223
10.3.1
Lexical refutation
224
10.3.2
Directional similarity of texts and the
227
comparison criterion
xii
Natimi!
Language
Processing:
Semantic
Aspects
10.3.3
Two more examples of the comparison
228
criterion
10.4
Conclusions and Recent Research
229
11.
Text Segmentation
231
11.1
Introduction
231
11.1.1
Topic segmentation
232
11.2
Methods and Algorithms
233
11.2.1
Discourse structure and hierarchical
233
segmentation
11.2.2
Linear segmentation
236
11.2.3
Linear segmentation by Lexical Chains
244
11.2.4
Linear segmentation by FCA
248
11.3
Evaluation
256
11.4
Conclusions and Recent Research
260
12.
Text Summarization
262
12.1
Introduction
262
12.2
Methods and Algorithms
267
12.2.1
Summarization starting from linear
267
segmentation
12.2.2
Summarization by Lexical Chains (LCs)
271
12.2.3
Methods based on discourse structure
274
12.2.4
Summarization by FCA
275
12.2.5
Summarization by sentence clustering
280
12.2.6
Other approaches
283
12.3
Multi-document Summarization
287
12.4
Evaluation
291
12.4.1
Conferences and Corpora
294
12.5
Conclusions and Recent Research
295
13.
Named Entity Recognition
297
13.1
Introduction
297
13.2
Baseline Methods and Algorithms
298
13.2.1
Hand-crafted rules based techniques
298
13.2.2
Machine learning techniques
303
13.3
Summary and Main Conclusions
309
Bibliography
311
Index
331
|
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| spelling | Kapetanios, Epaminondas Verfasser aut Natural Language Processing Semantic Aspects Epaminondas Kapetanios ; Doina Tatar ; Christian Sacarea Boca Raton [u.a.] CRC Press 2014 XII, 333 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Formale Semantik (DE-588)4122144-8 gnd rswk-swf Sprachverarbeitung (DE-588)4116579-2 s Formale Semantik (DE-588)4122144-8 s DE-604 Tatar, Doina Verfasser (DE-588)1045185892 aut Săcărea, Christian 1970- Verfasser (DE-588)122659007 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026190942&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Natural Language Processing Semantic Aspects |
| title_auth | Natural Language Processing Semantic Aspects |
| title_exact_search | Natural Language Processing Semantic Aspects |
| title_full | Natural Language Processing Semantic Aspects Epaminondas Kapetanios ; Doina Tatar ; Christian Sacarea |
| title_fullStr | Natural Language Processing Semantic Aspects Epaminondas Kapetanios ; Doina Tatar ; Christian Sacarea |
| title_full_unstemmed | Natural Language Processing Semantic Aspects Epaminondas Kapetanios ; Doina Tatar ; Christian Sacarea |
| title_short | Natural Language Processing |
| title_sort | natural language processing semantic aspects |
| title_sub | Semantic Aspects |
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| topic_facet | Sprachverarbeitung Formale Semantik |
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