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Argument Mining
This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.
Argumentative Style
Argumentative Style discusses the various ways in which the defence of a standpoint is given shape in argumentative discourse. In this innovative study the new notion – ‘argumentative style’ – introduced for this purpose is situated in the theoretical framework of the pragma-dialectical approach to argumentation. This means that the choices involved in utilising a particular argumentative style do not only concern the presentational dimension, but also the topical selection and the audience adaptation of the strategic manoeuvring taking place in the discourse. In identifying the functional variety of the argumentative styles utilised in the political, the diplomatic, the legal, the facilitatory, the academic, and the medical domain, the point of departure is that these argumentative styles manifest themselves in the discourse in the argumentative moves that are made, the dialectical routes that are chosen and the strategic considerations that are brought to bear.
Musical Rhetoric
Discourse analysis and rhetoric are very much developed in communication, linguistics, cognitive science and artificial intelligence. Besides theoretical investigations, discourse analysis is central in a number of application areas such as dialogue and negotiation, the semantic web, question answering or authoring systems. Music is also a natural language, more abstract and mathematical, which follows very strict construction principles. However, there is very limited and no recent literature on Music Discourse analysis using computational principles. This book aims at developing a central issue in musical discourse: modeling rhetoric and argumentation. It also contributes to the development of high-level multimedia annotation schemes for non-verbal communication.
Computational Models of Argument
Research into computational models of argument is a rich interdisciplinary field involving the study of natural, artificial and theoretical argumentation and requiring openness to interactions with a variety of disciplines, ranging from philosophy and cognitive science to formal logic and graph theory. The ultimate aim is to support the development of computer-based systems able to engage in argumentation-related activities, either with human users or among themselves. This book presents the proceedings of the sixth biennial International Conference on Computational Models of Argument (COMMA 2016), held in Potsdam, Germany, on 12- 16 September. The aim of the COMMA conferences is to bring to...
Controlling Language in Industry
This book provides an in-depth study of controlled languages used in technical documents from both a theoretical and practical perspective. It first explores the history of controlled languages employed by the manufacturing industry to shape and constrain the information in technical documents. The author then offers a comparative analysis of existing controlled languages and distills the best-practice features of those language systems. He concludes by offering innovative models that can be used to develop and trial a new controlled language. This book will be of interest to linguists working in technical and professional communication, as well as writers and practitioners involved in the production of technical documents for companies in multiple industries and geographical locations.
Challenges of Discourse Processing
Discourse analysis remains an unresolved challenge in Computational Linguistics, in spite of the numerous theoretical works that have been developed in the past two decades. This situation is mainly due to the complexity of discourse constructions whose recognition often involves language analysis associated with domain knowledge and reasoning. Technical documents, such as procedures, requirements, and product manuals, must be relatively constrained in terms of language diversity and complexity: the goal is to make sure that users can efficiently and accurately understand these documents. For that purpose, these documents often follow authoring guidelines. These constraints make it possible ...
Computational Models of Argument
Argumentation, which has long been a topic of study in philosophy, has become a well-established aspect of computing science in the last 20 years. This book presents the proceedings of the fifth conference on Computational Models of Argument (COMMA), held in Pitlochry, Scotland in September 2014. Work on argumentation is broad, but the COMMA community is distinguished by virtue of its focus on the computational and mathematical aspects of the subject. This focus aims to ensure that methods are sound – that they identify arguments that are correct in some sense – and provide an unambiguous specification for implementation; producing programs that reason in the correct way and building systems capable of natural argument or of recognizing argument. The book contains 24 long papers and 18 short papers, and the 21 demonstrations presented at the conference are represented in the proceedings either by an extended abstract or by association with another paper. The book will be of interest to all those whose work involves argumentation as it relates to artificial intelligence.
CLARIN
CLARIN, the "Common Language Resources and Technology Infrastructure", has established itself as a major player in the field of research infrastructures for the humanities. This volume provides a comprehensive overview of the organization, its members, its goals and its functioning, as well as of the tools and resources hosted by the infrastructure. The many contributors representing various fields, from computer science to law to psychology, analyse a wide range of topics, such as the technology behind the CLARIN infrastructure, the use of CLARIN resources in diverse research projects, the achievements of selected national CLARIN consortia, and the challenges that CLARIN has faced and will face in the future. The book will be published in 2022, 10 years after the establishment of CLARIN as a European Research Infrastructure Consortium by the European Commission (Decision 2012/136/EU). Watch our talk with the editors Darja Fišer and Andreas Witt here: https://youtu.be/ZOoiGbmMbxI
Archives in the Digital Age
Archiving has become an increasingly complex process. The challenge is no longer how to store the data but how to store it intelligently, in order to exploit it over time, while maintaining its integrity and authenticity. Digital technologies bring about major transformations, not only in terms of the types of documents that are transferred to and stored in archives, in the behaviors and practices of the humanities and social sciences (digital humanities), but also in terms of the volume of data and the technological capacity for managing and preserving archives (Big Data). Archives in The Digital Age focuses on the impact of these various digital transformations on archives, and examines how the right to memory and the information of future generations is confronted with the right to be forgotten; a digital prerogative that guarantees individuals their private lives and freedoms.
Hyperdocumentation
The term "hyperdocumentation" is a hyperbole that seems to characterize a paradox. The leading discussions on this topic bring in diverse ideas such as that of data, the fantasy of Big Data, cloud computing, artificial intelligence, algorithmic processing, the flow of information and the outstanding successes of disinformation. The purpose of this book is to show that the current context of documentation is just another step in human construction that has been ongoing for not centuries but millennia and which, since the end of the 19th century, has been accelerating. Coined by Paul Otlet in 1934 in his Traite de Documentation, "hyperdocumentation" refers to the concept of documentation that is constantly being expanded and extended in its functionalities and prerogatives. While, according to Otlet, everything could potentially be documented in this way, increasingly we find that it is our lives that are being hyperdocumented. Hyperdocumentation manifests as an increase not only in the quantity of information that is processed but also in its scope, as information is progressively integrated across areas that were previously poorly documented or even undocumented.
