{"product_id":"9783032322906","title":"Argument Mining","description":"\u003ch3\u003eSynthesis Lectures on Human Language Technologies\u003c\/h3\u003e\u003ch1\u003eArgument Mining\u003c\/h1\u003e\u003ch3\u003eManfred Stede | Jodi Schneider | Henning Wachsmuth\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Speech \u0026amp; Audio Processing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal;\"\u003eThis Open Access book provides an essential overview of the topic of argumentation mining, an active research area of Natural Language Processing (NLP).\u003cspan style=\"font-size: 9.0pt; font-family: 'Helvetica',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: DE;\"\u003e \u003c\/span\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: DE;\"\u003eArgument mining can automatically find and collect arguments published in newspapers, social media, or elsewhere. Argument mining can be also used to give a precise account of the argumentative structure of a single text or dialogue such as a legal or scientific document, a student essay, or an online conversation. Increasingly, computational approaches provide synopses of arguments and compare the relative strength of arguments. \u003c\/span\u003eIn this book, the authors start with basic argumentation concepts and describe the NLP methods for mining arguments automatically from natural language text. The authors then show how NLP is used for assessing the quality of arguments and generating new arguments. This \u003cem\u003eSecond Edition\u003c\/em\u003e presents an updated survey of the state of the art of argument mining, providing increased depth and insights into many more NLP tasks than the prior edition. This new edition discusses the disruptive changes that have come with large language models and highlights potential future developments. The authors also update the treatment of the common steps in\u003cspan style=\"font-size: 9.0pt; font-family: 'Helvetica',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: DE;\"\u003e \u003c\/span\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: DE;\"\u003eargument mining, argument generation tasks and methods, and computational argumentation applications. Completely new chapters cover perspective assessment, argument quality assessment, and argument reasoning.\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal;\"\u003eJodi Schneider, Ph.D., is an Associate Professor of Information at the University of Wisconsin-Madison Information School, where she directs the Information Quality Lab. Dr. Schneider completed her Ph.D. in Informatics at the National University of Ireland, Galway. She studies the science of science through the lens of arguments, evidence, and persuasion. Her long-term goal is to ensure that public policy decisions can apply the best available scientific evidence. She is investigating knowledge representation approaches for bridging formal and informal argumentation, and her recent work analyzes the argumentative features of chatbots.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal;\"\u003eManfred Stede, Ph.D., is a Professor of Applied Computational Linguistics at the University of Potsdam, Germany. He completed his Ph.D. in Computer Science at the University of Toronto. He also studied Computer Science and Linguistics at TU Berlin and completed an M.Sc. in Computer Science at Purdue University. His research and teaching activities revolve around issues in discourse structure and automatic text understanding, and in the past 10 years has had a focus on discourse parsing and argument mining.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal;\"\u003eHenning Wachsmuth, Ph.D., is a Professor of Natural Language Processing at the Institute of Artificial Intelligence of Leibniz University Hannover, Germany. He received his Ph.D. in Computer Science from Paderborn University. His group studies how intentions and views of people are reflected in language and how machines can understand and imitate this with large language models. Dr. Wachsmuth’s main research interests include the computational assessment and generation of arguments, the mitigation of social bias and media bias, and the construction of human-like explanations for educational and explainable natural language processing.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e22 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eUniversität Potsdam\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032322906\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e190\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Universität Potsdam","offers":[{"title":"Default Title","offer_id":50549040185484,"sku":"9783032322906","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032322906.jpg?v=1781061615","url":"https:\/\/lateknightbooks.com\/products\/9783032322906","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}