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LINGUIST List 16.3082

Wed Oct 26 2005

FYI: Call for Book Chapters, Text Mining and NLP

Editor for this issue: Svetlana Aksenova <svetlanalinguistlist.org>

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        1.    Steve Poteet, Call for Book Chapters, Text Mining and NLP

Message 1: Call for Book Chapters, Text Mining and NLP
Date: 25-Oct-2005
From: Steve Poteet <spoteet6hotmail.com>
Subject: Call for Book Chapters, Text Mining and NLP

Text Mining and Natural Language Processing
(to be published by Springer in early 2006)

Research on natural language processing (NLP) has more than a half a
century of history and text mining has over a decade (under that name, and
more under other rubrics). However, much of the work has focused on
developing theory and algorithms or exploring novel and very experimental
applications. Very little print has been devoted to detailing the
application of these algorithms to real problems. Real problems bring with
them a host of challenges often independent of the core algorithm utilized:
data selection and preparation, structure processing (which part of a text
file to apply an algorithm to, what text segments to take as processing
units - sections, paragraphs, sentences - and how the text is segmented),
tokenization (including stemming and other text preprocessing), handling of
spelling errors, abbreviations, acronyms, unknown words etc. In addition,
particular NLP and text mining algorithms will no doubt pose their own
particular data preparation difficulties.

For this book, we would like to explore real world applications of NLP and
text mining algorithms, in all their gory detail. Emphasis will be placed
on the description of end-to-end solutions to real problems, detailing as
much as possible the various associated difficulties that must be resolved
before the algorithm can be applied or its full benefits realized. In
addition, any discussion of these types of difficulties that have been
encountered in various applications will be welcome, as will surveys of
application or problem types and the algorithms that have proved useful for
them. Finally, discussion of the interaction of NLP and text mining in an
application or applications would also be appropriate.

Specific topics of interest of this book include, but are not limited to:
1. Novel or high impact text mining and/or natural language applications
2. Preparation and preprocessing of text data - Papers that address some
practical issues you have encountered in working on real data
3. Surveys of a set of related techniques or problem types that will allow
readers to quickly sift through a large number of papers published on a
given topic
4. Interaction of text mining and natural language processing

The target audience of this book is readers who wish to learn how to apply
text mining and natural language processing techniques to real world
problems. The purpose is to show users how to go from theory and
algorithms to real applications. The book is intended for graduate students,
researchers and practitioners working in various areas of information

First Draft Full Paper Submission: December 1, 2005
Author Notification: December 21, 2005 (NEW DATE)
Final Paper Due: January 15, 2006 (NEW DATE)

Papers should be original and should not be submitted for publication or
published elsewhere. All papers are to be submitted electronically (final
versions will be preferred in LaTex though initial submissions can be in
Word or PDF) to both the editors by email (listed below). Paper should be
in the range of 10-20 pages, single space, single column, with right and
left margins of 1.25'' and 50 lines per page with point size 11 for text or
48 lines per page with point size 12 for math formulas.
LaTex macro packages and more detailed formatting instructions will be
supplied upon request.

233 Spring Street, New York, NY 10013, USA

All correspondence and paper submissions should be made to the editors:
Anne Kao, Steve Poteet (Boeing Phantom Works)
by email: textmineyahoo.com
The editors will reply with acknowledgement upon receipt of your
submission or email. Please double-check if you do not hear back.

Linguistic Field(s): Computational Linguistics

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