30.283, Books: Argumentation Mining: Stede, Schneider

[The LINGUIST List]

LINGUIST List: Vol-30-283. Thu Jan 17 2019. ISSN: 1069 - 4875.

Subject: 30.283, Books: Argumentation Mining: Stede, Schneider

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Date: Thu, 17 Jan 2019 16:18:34
From: Bebe Barrow [barrow at morganclaypool.com]
Subject: Argumentation Mining: Stede, Schneider

 


Title: Argumentation Mining 
Series Title: Synthesis Lectures on Human Language Technologies edited by Graeme Hirst  

Publication Year: 2019 
Publisher: Morgan & Claypool Publishers
	   http://www.morganclaypool.com
	

Book URL: http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1351 


Author: Manfred Stede
Author: Jodi Schneider

Electronic: ISBN:  9781681734606 Pages: 191 Price: U.S. $ 59.96
Hardback: ISBN:  9781681734613 Pages: 191 Price: U.S. $ 94.95
Paperback: ISBN:  9781681734590 Pages: 191 Price: U.S. $ 74.95


Abstract:

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.
 



Linguistic Field(s): Cognitive Science
                     Computational Linguistics
                     Discourse Analysis


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=133093




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