This book covers almost all the major objections that scholars of Ahlul Sunnat on Shia Beliefs and and customs.This book is one of the many Islamic publications distributed by Ahlulbayt Organization throughout the world in different languages with the aim of conveying the message of Islam to the people of the world. Ahlulbayt Organization (www.shia.es) is a registered Organization that operates and is sustained through collaborative efforts of volunteers in many countries around the world, and it welcomes your involvement and support. Its objectives are numerous, yet its main goal is to spread the truth about the Islamic faith in general and the Shi`a School of Thought in particular due to the latter being misrepresented, misunderstood and its tenets often assaulted by many ignorant folks, Muslims and non-Muslims. Organization's purpose is to facilitate the dissemination of knowledge through a global medium, the Internet, to locations where such resources are not commonly or easily accessible or are resented, resisted and fought! In addition, For a complete list of our published books please refer to our website (www.shia.es) or send us an email to [email protected]

Includes papers that explore the issues and re-assess generally accepted premises on the relationship between lexical meaning and the morphosyntax of sentences by confronting two competing approaches to this issue.

Includes papers that explore the issues and re-assess generally accepted premises on the relationship between lexical meaning and the morphosyntax of sentences by confronting two competing approaches to this issue.

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.

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.

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.