Download or read book Language Reasoning by Means of Argument Mining and Argument Quality written by Alaa Alhamzeh and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Argumentation Mining written by Manfred Stede and published by Springer Nature. This book was released on 2022-06-01 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others. The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity. Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches. Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text. The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a--necessarily subjective--outlook for the field.
Download or read book Argument Mining written by Mathilde Janier and published by John Wiley & Sons. This book was released on 2019-10-15 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Argumentation Mining written by Manfred Stede and published by Morgan & Claypool. This book was released on 2018-12-20 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others. The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity. Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches. Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text. The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a--necessarily subjective--outlook for the field.
Download or read book Argumentation and Language Linguistic Cognitive and Discursive Explorations written by Steve Oswald and published by Springer. This book was released on 2018-03-08 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the role language plays at all levels of the argumentation process. It explores the effects that specific linguistic choices may have in the production and the reception of arguments and in doing so, it moves beyond the first, necessary, descriptive stance provided by current literature on the topic. Each chapter provides an original take illuminating one or more of the following three issues: the range of linguistic resources language users draw on as they argue; how cognitive processes of meaning construction may influence argumentative practices; and which discursive devices can be used to fulfil a number of argumentative goals. The volume includes theoretical and empirical or applied stances, providing the reader both with state-of-the-art reflections on the relationship between argumentation and language, and with concrete examples of how this relationship plays out in naturally occurring argumentative practices, such as classroom interaction, and political, parliamentary or journalistic discourse. This is a very original, timely and welcome contribution to the study of argumentation conducted with the tools of the language sciences. The collection of papers relevantly tackles key linguistic, discursive and cognitive aspects of argumentative practices whose treatment is underrepresented in mainstream argumentation studies by offering new and exciting linguistically-grounded theoretical accounts. As such, the volume testifies both to the vigour of the linguistic current within the discipline and to the high standards of scholarly commitment and quality that the younger generation is pushing forward. Without question, this book marks an important milestone in the relationships between linguistics and argumentation theory. Christian Plantin, Professor Emeritus
Download or read book Argumentation Schemes written by Douglas Walton and published by Cambridge University Press. This book was released on 2008-08-04 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic analysis of many common argumentation schemes and a compendium of 96 schemes. The study of these schemes, or forms of argument that capture stereotypical patterns of human reasoning, is at the core of argumentation research. Surveying all aspects of argumentation schemes from the ground up, the book takes the reader from the elementary exposition in the first chapter to the latest state of the art in the research efforts to formalize and classify the schemes, outlined in the last chapter. It provides a systematic and comprehensive account, with notation suitable for computational applications that increasingly make use of argumentation schemes.
Download or read book Evaluating the Language of Argument written by Martin Hinton and published by Springer Nature. This book was released on 2020-11-30 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the evaluation of natural argumentative discourse, and, in particular, with the language in which arguments are expressed. It introduces a systematic procedure for the analysis and assessment of arguments, which is designed to be a practical tool, and may be considered a pseudo-algorithm for argument evaluation. The first half of the book lays the theoretical groundwork, with a thorough examination of both the nature of language and the nature of argument. This leads to a definition of argumentation as reasoning expressed within a procedure, which itself yields the three frames of analysis used in the evaluation procedure: Process, Reasoning, and Expression. The second half begins with a detailed discussion of the concept of fallacy, with particular attention on fallacies of language, their origin and their effects. A new way of looking at fallacies emerges from these chapters, and it is that conception, together with the understanding of the nature of argumentation described in earlier sections, which ultimately provides the support for the Comprehensive Assessment Procedure for Natural Argumentation. The first two levels of this innovative procedure are outlined, while the third, that dealing with language, and involving the development of an Informal Argument Semantics, is fully described. The use of the system, and its power of analysis, are illustrated through the evaluation of a variety of examples of argumentative texts.
Download or read book Argumentation written by Lapakko Ph. D. David Lapakko Ph. D. and published by iUniverse. This book was released on 2009-10 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argumentation: Critical Thinking in Action, 2nd ed., explores a wide variety of issues and concepts connected to making arguments, responding to the arguments of others, and using good critical thinking skills to analyze persuasive communication. Key topics include the nature of claims, evidence, and reasoning; common fallacies in reasoning; traits associated with good critical thinking; how language is used strategically in argument; ways to organize an argumentative case; how to refute an opposing argument or case; cultural dimensions of argument; and ways to make a better impression either orally or in writing.
Download or read book Argument Evaluation and Evidence written by Douglas Walton and published by Springer. This book was released on 2015-08-04 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.
Download or read book Argumentation Schemes for Presumptive Reasoning written by Douglas Walton and published by Routledge. This book was released on 2013-11-05 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent concerns with the evaluation of argumentation in informal logic and speech communication center around nondemonstrative arguments that lead to tentative or defeasible conclusions based on a balance of considerations. Such arguments do not appear to have structures of the kind traditionally identified with deductive and inductive reasoning, but are extremely common and are often called "plausible" or "presumptive," meaning that they are only provisionally acceptable even when they are correct. How is one to judge, by some clearly defined standard, whether such arguments are correct or not in a given instance? The answer lies in what are called argumentation schemes -- forms of argument (structures of inference) that enable one to identify and evaluate common types of argumentation in everyday discourse. This book identifies 25 argumentation schemes for presumptive reasoning and matches a set of critical questions to each. These two elements -- the scheme and the questions -- are then used to evaluate a given argument in a particular case in relation to a context of dialogue in which the argument occurred. In recent writings on argumentation, there is a good deal of stress placed on how important argumentation schemes are in any attempt to evaluate common arguments in everyday reasoning as correct or fallacious, acceptable or questionable. However, the problem is that the literature thus far has not produced a precise and user-friendly enough analysis of the structures of the argumentation schemes themselves, nor have any of the documented accounts been as helpful, accessible, or systematic as they could be, especially in relation to presumptive reasoning. This book solves the problem by presenting the most common presumptive schemes in an orderly and clear way that makes them explicit and useful as precisely defined structures. As such, it will be an indispensable tool for researchers, students, and teachers in the areas of critical thinking, argumentation, speech communication, informal logic, and discourse analysis.
Download or read book Problems in Argument Analysis and Evaluation written by Trudy Govier and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-11-05 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Problems in Argument Analysis and Evaluation".
Download or read book Robust Argumentation Machines written by Philipp Cimiano and published by Springer Nature. This book was released on with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Making Arguments written by Edmond H. Weiss and published by eBookIt.com. This book was released on 2012-04-24 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making Arguments: Reason in Context offers a new approach to the teaching of argumentation and debate. Nearly all argumentation courses and textbooks tilt toward one of two extremes: * Critical thinking/informal logic, in which the "laws" of reasoning are universal and not affected by audience or context * Public speaking, in which adaptation to the audience and winning assent trumps logic and reasoning At the first extreme are texts that stress flaws in arguments and how to discern them. Their focus tends to be on the logic (making deductive inferences and avoiding deductive mistakes or other errors of inference) and/or the recognition of fallacies (deficient or fake arguments). They also deal with the messy ambiguities of language. Generally, this approach omits the concept of an audience. And it does not explain how spotting the flaws in reasoning, or improving one's reasoning, translates into the ability to make an effective argument. Further, it is not clear how to address audiences whose grasp of logic is shaky. At the other extreme are books (especially public speaking textbooks) that err in the opposite direction. They are fixated on audience. As a result, their advice about how to argue is grounded in audience adaptation. In fact, the process of reasoning is nearly subordinated to such secondary considerations as style, delivery, and organization. And again, the connection between critical thinking/logic and audience is rarely examined. In Making Arguments, we propose to consider argument at the nexus of invention and judgment, the two endpoints from which logic and public speaking examine argumentation, respectively. By looking at the "stuff" that comes between an argument's design and its delivery, we hope to enrich the understanding and the study of argument, as both a theoretical and applied discipline. In particular, we want to answer some questions that are seldom addressed in print: * What is the starting point for augmentation? When do we even need to argue? * When should one embrace, and when should one avoid, arguing? * Why does the same argument work in one place and fail in another? * Are most audiences capable of understanding a complex argument? * With what authority can one make an argument--absent expertise in the field in which the argument takes place? * Are there substantive differences between oral and written argument? * What does it mean to "present" an argument? * Can someone control the argumentative situation/context to the benefit of his/her position? * How can argument educate and improve the arguer? * Can we learn the "truth" by arguing? This book addresses the whole advocacy process as a series of concatenated intellectual decisions affecting how arguments are created, ordered, rendered, and produced--with judgment as the over-arching concern.
Download or read book Argument Mining written by Mathilde Janier and published by John Wiley & Sons. This book was released on 2019-10-21 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Models of Argument written by H. Prakken and published by IOS Press. This book was released on 2020-09-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.
Download or read book Coalescent Argumentation written by Michael A. Gilbert and published by Routledge. This book was released on 2013-11-05 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coalescent Argumentation is based on the concept that arguments can function from agreement, rather than disagreement. To prove this idea, Gilbert first discusses how several components--emotional, visceral (physical) and kisceral (intuitive) are utilized in an argumentative setting by people everyday. These components, also characterized as "modes," are vital to argumentative communication because they affect both the argument and the resulting outcome. In addition to the components/modes, this book also stresses the goals in argumentation as a means for understanding one's own and one's opposer's positions. Gilbert argues that by viewing positions as complex human events involving a variety of communicative modes, we are better able to find commonalities across positions, and, therefore, move from conflict to resolution. By focusing on agreement and shared goals in all modes, arguers can coalesce diverse positions and more easily distinguish between minor or unrelated differences and core disagreements. This permits much greater latitude for locating shared beliefs, values, and attitudes that will lead to conflict resolution.
Download or read book Learning to Improve Arguments written by Gabriella Skitalinska and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Possessing strong argumentative writing skills is a crucial competency for academic and professional success. Such skills enable individuals to articulate their thoughts, beliefs, and opinions effectively while engaging in constructive discourse. Not only do they facilitate personal expression, but they also foster critical thinking and the ability to communicate persuasively. However, argumentation skills are challenging to acquire, especially for novice writers. This prompts the need to develop scalable computational solutions capable of guiding writers in improving their argumentative writing skills and assisting them in effectively communicating their ideas, regardless of their skill level. Despite recent advancements in machine learning and natural language processing and extensive studies on argument quality in the past, the questions of automating argumentative writing support remain largely unexplored. In this thesis, we aim to address this gap and explore the following research question: What makes a good argument and how can we computationally model this knowledge to develop tools supporting individuals in improving their arguments? To do so, we suggest using human revisions of argumentative texts as a basis to understand and model quality characteristics of arguments. We argue that akin to how individuals learn through revisions to recognize gaps in their reasoning, organize ideas, and convey arguments in a clear and concise manner, computational models can be similarly conditioned to develop such competencies. In this thesis, we make several contributions to the field of computational argumentation, specifically in automated argument assessment and generation. In particular, we introduce several new tasks focusing on identifying low quality content, characterizing the flaws within them, and suggesting types of improvement to increase their quality. The differences between the tasks and their scope allow for a more nuanced and targeted assessment when capturing argument quality, making them applicable to a wide range of content quality control applications in online moderation or education processes. To enable making such assessments with cutting-edge computational methods, we compile the first large-scale corpus of argumentative claim revisions from a popular online debate platform. With this data in hand, we investigate the important aspects, inter-dependencies, and attributes that shape the perceived quality of the argument and assess the impact of the revision processes on the various dimensions of argument quality. We find that working with revision-based data offers many opportunities and allows us to learn a more general notion of argument quality, which generalizes well across the topics, aspects, and stances covered in argumentative text. However, it also comes with several challenges related to the representativeness and reliability of data, topical bias in revision behaviors, appropriate model complexities and architectures, and the need for context when judging claims. In a detailed analysis, we outline the strengths and weaknesses of various approaches and strategies exploiting different types of knowledge specific to text and argument revisions to tackle said challenges. For example, we find that using revision distance-based sampling can improve performance when identifying claims that require improvement and incorporating contextual information allows to make more accurate quality assessments. Finally, keeping in mind the lessons learned from quality assessment tasks, we address the problem of automatically generating improved versions of argumentative texts. Specifically, we propose a neural approach that first generates a diverse range of candidate claims and then selects the best candidate via a ranking process using several argument and text quality metrics. We empirically show that our approaches can perform a diverse range of improvement types and successfully revise argumentative texts. Moreover, the results show that the proposed solutions generalize well to other domains, such as instructional texts, news, scientific articles, and encyclopedia entries. With this work, we take another step towards automatically assessing the quality of argumentative texts and generating their improved versions. We have done so by adopting a new perspective that looks at argument quality through the lens of revisions. By proposing a set of methods that can guide writers and help them improve their argumentative writing skills and produce more compelling and persuasive texts, we showcase that, with the right approach, the art of persuasion becomes an attainable endeavor.
