Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches [E-Book]

Chapter 1. Introduction to Discourse Analysis and Argumentation Theory (Martn̕ Pereira-Farią) -- Part 1. Conceptual Approaches -- Chapter 2. A New Approach to Interoperable Argumentation Documentation (Stephen Stead) -- Chapter 3. Making Good Arguments in Archaeology (Michael E. Smith) -- Chapter 4. A Causal Model Application to a Cultural Heritage Sentence Analysis (Alejandro Sobrino) -- Chapter 5. What Archaeological Texts Argue About: Denotations and Ontological Proxies (Cesar Gonzalez-Perez) -- Chapter 6. The Social Production of Discourse in Archaeology (Isto Huvila) -- Chapter 7. Dealing with Vagueness in Archaeological Discourses (Cesar Gonzalez-Perez) -- Chapter 8. Extending Discourse Analysis in Archaeology: A Multimodal Approach (Jeremy Huggett) -- Part 2. Computational Techniques -- Chapter 9. Computer Processing of Language: Where Archaeological Discourse and Computers Meet (Patricia Martn̕-Rodilla) -- Chapter 10. NLP and Archaeology: A View from a Digital Archive (Holly Wright)- Chapter 11. Information Extraction and Machine Learning for Archaeological Texts (Alex Brandsen) -- Chapter 12. Argument Mining and Analytics in Archaeology (John Lawrence) -- Chapter 13. Computational Processing of Language Vagueness for Archaeological Site Modelling (Maria Elena Castiello) -- Part 3. The Future -- Chapter 14. Future Directions (Cesar Gonzalez-Perez).

This book covers the topic of discourse and argumentation in archaeology with an aim to serve the archaeology community. The book presents discourse and argument analysis approaches and techniques in an affordable manner and applied to archaeological situations. It focuses on techniques and approaches that can be applicable to multiple situations, periods and cultures. The book begins with an introduction to discourse and argumentation analysis as a general field and also as an auxiliary technique to archaeology. The work includes conceptual applications, ranging from causality, ontological connections, vagueness, social production of discourse and public debates. The work also devotes a section to computational approaches and describes the specifics of some well-known families of algorithms such as lexical processing, information extraction or sentiment analysis. The conclusion comments on the future and which reflects on the previous chapters and discusses how the presented techniques and approaches should be adapted or improved for easier and more powerful application to archaeology. Contributing authors bring perspectives from archaeology, linguistics, and computer science.