Argumentation mining:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
[San Rafael]
Morgan & Claypool Publishers
[2019]
|
| Series: | Synthesis lectures on human language technologies
40 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverzeichnis Seite 145-170 |
| Physical Description: | xv, 175 Seiten Illustrationen |
| ISBN: | 9781681734590 9781681734613 |
Staff View
MARC
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Record in the Search Index
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| adam_text |
Contents
Preface.xiii
Acknowledgments .xv
1 Introduction.1
1.1 Arguments and Arguing.1
1.1.1 A Definition.1
1.1.2 How Do We Argue?.4
1.2 Mining Arguments: A Definition.6
1.3 Why Study Argumentation Mining? .8
1.4 Overview of the Book.9
2 Argumentative Language.11
2.1 Subjectivity.11
2.2 Opinion, Stance, and Argument.14
2.3 Argument and Speech Acts.16
2.4 Argumentation, Explanation, and Justification.19
2.5 Text Types and Discourse Modes.20
2.6 Rhetoric.23
2.6.1 Building Sentences: Rhetorical Choices.23
2.6.2 Text Organization: Rhetorical Effects.24
3 Modeling Arguments.27
3.1 Argument Components and Structure .27
3.2 Argumentation Extends Classical Inference with Defeasible Reasoning.29
3.3 Argumentation Schemes.30
3.4 Types of Argument Models.31
3.4.1 Examples of the Three Types.33
3.5 Early Artificial Intelligence Approaches to Representing Arguments.35
3.6 Argument Mapping.36
3.6.1 Applications of Argument Mapping.39
3.6.2 Argument Mapping Tools .41
3.6.3 Formalizing, Sharing, and Querying Argument Maps.42
4 Corpus Annotation.45
4.1 Annotation Schemes.45
4.2 Corpora.51
4.2.1 Online Interactions.52
4.2.2 Other Corpora.53
5 Finding Claims.57
5.1 Classifying Text as Argumentative vs. Non-argumentative.58
5.1.1 Document Level.58
5.1.2 Sub-Document Level.59
5.1.3 Summary.62
5.2 Segmenting Text into Argumentative Units.62
5.3 Identifying Claims.64
5.3.1 Legal Documents.65
5.3.2 Instructional Text.66
5.3.3 Student Essays.67
5.3.4 Wikipedia.71
5.3.5 Social Media and User-Generated Web Text.73
5.3.6 Summary: Finding Claims of Different Kinds.75
6 Finding Supporting and Objecting Statements .77
6.1 Finding Supporting Statements.78
6.1.1 Exploiting Discourse Relation Indicators.78
6.1.2 Classifying Segments without Discourse Context.80
6.1.3 Combined Claim/Support Detection.84
6.2 Finding Opposing Statements.85
6.3 Identifying Stance .87
7 Deriving the Structure of Argumentation.93
7.1 Establishing Relations between Argument Components.93
7.1.1 Disagreement in Online Interactions.94
7.1.2 Argumentative Relations in Monologue .97
7.2 Identifying Complete Argument Structures.100
7.2.1 Computing Hierarchical Structure.100
7.2.2 Sequential Structure.104
8 Assessing Argumentation .107
8.1 Reconstructing Enthymemes.107
8.2 Identifying Argumentation Schemes.109
8.2.1 Human Annotation Studies.110
8.2.2 Automatic Scheme Labeling.112
8.3 Determining Argument Quality.113
8.3.1 Consistency Checking.113
8.3.2 Assessing or Comparing Quality.116
8.3.3 Argument and Emotion.120
9 Generating Argumentative Text.125
9.1 Generating Text from Structured Data.125
9.2 Generating Text from Text.131
9.3 Summary.135
10 Summary and Perspectives .137
10.1 Argumentation Mining: A Common Kernel.137
10.2 After Mining: What To Do with Arguments.139
10.3 Some Applications of Argumentation Mining.140
10.4 Outlook.143
Bibliography.145
Authors’ Biographies.171
Index.173 |
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| id | DE-604.BV045450935 |
| illustrated | Illustrated |
| indexdate | 2024-07-31T00:21:35Z |
| institution | BVB |
| isbn | 9781681734590 9781681734613 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030836315 |
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| physical | xv, 175 Seiten Illustrationen |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Morgan & Claypool Publishers |
| record_format | marc |
| series | Synthesis lectures on human language technologies |
| series2 | Synthesis lectures on human language technologies |
| spelling | Stede, Manfred 1965- Verfasser (DE-588)1053162391 aut Argumentation mining Manfred Stede (University of Potsdam), Jodi Schneider (University of Illinois at Urbana-Champaign) [San Rafael] Morgan & Claypool Publishers [2019] © 2019 xv, 175 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on human language technologies 40 Literaturverzeichnis Seite 145-170 Argumentation (DE-588)4002899-9 gnd rswk-swf Text Mining (DE-588)4728093-1 gnd rswk-swf Argumentation (DE-588)4002899-9 s Text Mining (DE-588)4728093-1 s DE-604 Schneider, Jodi Verfasser (DE-588)1176217879 aut Erscheint auch als Online-Ausgabe 978-1-68173-460-6 Synthesis lectures on human language technologies 40 (DE-604)BV035447238 40 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=030836315&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Stede, Manfred 1965- Schneider, Jodi Argumentation mining Synthesis lectures on human language technologies Argumentation (DE-588)4002899-9 gnd Text Mining (DE-588)4728093-1 gnd |
| subject_GND | (DE-588)4002899-9 (DE-588)4728093-1 |
| title | Argumentation mining |
| title_auth | Argumentation mining |
| title_exact_search | Argumentation mining |
| title_full | Argumentation mining Manfred Stede (University of Potsdam), Jodi Schneider (University of Illinois at Urbana-Champaign) |
| title_fullStr | Argumentation mining Manfred Stede (University of Potsdam), Jodi Schneider (University of Illinois at Urbana-Champaign) |
| title_full_unstemmed | Argumentation mining Manfred Stede (University of Potsdam), Jodi Schneider (University of Illinois at Urbana-Champaign) |
| title_short | Argumentation mining |
| title_sort | argumentation mining |
| topic | Argumentation (DE-588)4002899-9 gnd Text Mining (DE-588)4728093-1 gnd |
| topic_facet | Argumentation Text Mining |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030836315&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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