[Corpora-List] [corpora-list] call for chapters NLP, semantics and argumentation

[Rodrigo Agerri]

[apologies for cross-postings]


IGI Global Book on Natural Language Processing and Computational
Semantics for Argumentation

DEADLINE: 5th of July


Introduction

This book considers how the research areas of Computational Semantics
and Argumentation Theory can be merged for the task of the semantic
interpretation of arguments from natural language. Computational
Semantics is a relatively new research domain which is proving
relevant to researchers and practitioners in the fields of
computational linguistics and natural language processing. The aim of
Computational Semantics is to discover novel techniques which can
automatically construct semantic representations for natural language
expressions, representations which can then be applied to perform
inference. Argumentation can be described as the means of how people
reason collaboratively or competitively on any topic where
information, knowledge, or claims conflict or are inconsistent.
Argumentation is the means to develop knowledge, which is provisional
and fallible. Argumentation is an interdisciplinary subject, with
relevance to linguistics, computational linguistics, formal logic,
computational semantics, and abstract argumentation, as well as
application in artificial intelligence research in law, medicine,
design and policy. Currently, abstract theories of argumentation are
limited in clearly representing arguments in natural language.

Objectives

The overall objective of our book is to provide an introduction to the
respective subjects of Computational Semantics and Argumentation.
Furthermore, this book will proceed to detail the mechanisms by which
key researchers in the respective areas propose how these two research
domains could be merged seamlessly. This book will highlight this
current gap within the field where both a significant and interesting
research contribution could be made. It will consist of a series of
chapters written by various experts in the field.

Target Audience

This book will be of specific interest to researchers working in the
area of computational semantics and/or argumentation or both. It will
have broader interest to researchers in the areas of (but not limited
to) computational linguistics, computational logic, natural language
processing, epistemology, philosophy, artificial intelligence and
reasoning.

Recommended Topics

Below is a list of topics which we feel would provide a comprehensive
overview of the areas of computational semantics and argumentation.
This list also contains suggested topics that highlight the
intersection between these two research areas. It is important to
point out that this is not an exhaustive list - merely suggested
topics for the book contents.

   Natural Language Processing
       Overview of Information Retrieval
       Automated Argument Extraction
       Machine Learning and Argument Extraction
   Computational Semantics
       First Order logic/ Lambda Calculus
       Discourse  Analysis
       Discourse Representation Theory
       Semantic Under specification/Ambiguity - Glue Semantics/Hole Semantics
       Entailment
   Argumentation
       Classical Argumentation
       Defeasible Argumentation
       Probabilistic Argumentation
       Applications of Argumentation
   Methodologies for creating a framework for natural language based
argumentation
   Future Work

Submission Procedure

Potential contributors are asked to submit proposed book chapters
based on the suggested topics above. Proposals should be submitted
either in PDF or MS Word format. These chapters should include an
overview of the subject area along with current research
trends/results and future work.  Proposed chapter submissions should
be no longer than 2 pages. Authors will be notified if their proposal
is accepted, and chapters drafts are due in July. Each full chapter
will be double-blind reviewed by at least three reviewers in the
research area.

Chapters will be collated in the book “Computational Semantics and
Argumentation Techniques for Natural Language Processing” and
published by IGI Global (http://www.igi-global.com/).

http://www.igi-global.com/publish/call-for-papers/call-details/333

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