Argument Mining 1st Edition by Mathilde Janier, Patrick Saint Dizier ISBN 1786303035 9781786303035

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ISBN 10: 1786303035
ISBN 13: 9781786303035
Author: Mathilde Janier, Patrick Saint Dizier

Argument Mining 1st Edition Table of contents:

1 Introduction and Challenges

1.1. What is argumentation?

1.2. Argumentation and argument mining

1.3. The origins of argumentation

1.4. The argumentative discourse

1.5. Contemporary trends

2 The Structure of Argumentation

2.1. The argument–conclusion pair

2.2. The elementary argumentative schema

2.3. Modeling agreement and disagreement

2.4. The structure of an argumentation: argumentation graphs

2.5. The role of argument schemes in argumentation

2.6. Relations between Toulmin’s model and argumentation schemes

3 The Linguistics of Argumentation

3.1. The structure of claims

3.2. The linguistics of justifications

3.3. Evaluating the strength of claims, justifications and arguments

3.4. Rhetoric and argumentation

4 Advanced Features of Argumentation for Argument Mining

4.1. Managing incoherent claims and justifications

4.2. Relating claims and justifications: the need for knowledge and reasoning

4.3. Argument synthesis in natural language

5 From Argumentation to Argument Mining

5.1. Some facets of argument mining

5.2. Designing annotation guidelines: some methodological elements

5.3. What results can be expected from an argument mining system?

5.4. Architecture of an argument mining system

5.5. The next chapters

6 Annotation Frameworks and Principles of Argument Analysis

6.1. Principles of argument analysis

6.2. Examples of argument analysis frameworks

6.3. Guidelines for argument analysis

6.4. Annotation tools

6.5. Argument corpora

6.6. Conclusion

7 Argument Mining Applications and Systems

7.1. Application domains for argument mining

7.2. Principles of argument mining systems

7.3. Some existing systems for argument mining

7.4. Efficiency and limitations of existing argument mining systems

7.5. Conclusion

8 A Computational Model and a Simple Grammar-Based Implementation

8.1. Identification of argumentative units

8.2. Mining for claims

8.3. Mining for supports and attacks

8.4. Evaluating strength

8.5. Epilogue

9 Non-Verbal Dimensions of Argumentation: a Challenge for Argument Mining

9.1. The text and its additions

9.2. Argumentation and visual aspects

9.3. Argumentation and sound aspects

9.4. Impact of non-verbal aspects on argument strength and on argument schemes

9.5. Ethical aspects

Bibliography

Index

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Tags: Mathilde Janier, Patrick Saint Dizier, Argument Mining