Appel: PITR 2013, Deadline extension

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sat Apr 27 19:54:08 UTC 2013


Date: Thu, 25 Apr 2013 18:42:03 +0100
From: Sandra.Williams <Sandra.Williams at open.ac.uk>
Message-ID: <35E1ED8F-0B5F-4747-AC3F-E0EFBFCA8766 at open.ac.uk>
X-url: http://mcs.open.ac.uk/nlg/PITR2013/

PITR 2013 - The Second Workshop on Predicting and Improving Text
Readability for Target Reader Populations
An ACL Workshop at Sofia, Bulgaria.

**** Extended Deadline: May 3, 2013  *****

See: http://mcs.open.ac.uk/nlg/PITR2013/

CALL FOR PAPERS

Many NLP systems generate or reformulate human language but how readable
is the output? What makes language easy or difficult to read for
different types of readers? How can existing text be manipulated to
improve information access? How does writing style affect readability,
comprehension, and appreciation of text? The last few years have seen a
resurgence of interest in these questions amongst computational
linguists as attention turns to more sophisticated techniques for
textual presentation and to address the widely differing needs of end
users. The relevance of this research area has spawned a number of
workshops on related topics, for example, SL-PAT 2012
(http://slpat.org/) and NLP4ITA 2012 (http://www.taln.upf.edu/nlp4ita/),
and a new special interest group, Speech and Language Processing for
Assistive Technologies (http://slpat.org/), which sponsors this
workshop.

PITR is a cross-disciplinary workshop bringing together researchers in
any field concerned with the readability, accessibility and quality of
text, particularly computational linguists, psycholinguists and
educational researchers. We solicit papers on:

- Reformulation of existing text (text-to-text systems)
- Generation of readable language from data (data-to-text systems)
- Generation of text in specific styles and registers for readability
- Evaluation of language simplification strategies
- Evaluation of the readability of computer-generated text
- Evaluation of the readability of machine translation output
- Prediction of aspects of text style related to readability
- Prediction of the readability of documents
- Readability issues in specialist texts such as questionnaires, exam
  questions, safety instructions, etc.
- Novel evaluation strategies for assessing text readability
- Novel readability metrics
- Techniques for simplifying lexis
- Techniques for simplifying syntax
- Techniques for simplifying discourse properties (making text more
  transparent, etc.)
- Techniques for manipulating textual layout to improve accessibility
- Techniques for making descriptions of numerical quantities more
  accessible
- Techniques for making technical terminology more accessible
- Techniques for making descriptions of logical statements more
  accessible
- Techniques for explaining complex ideas through accessible text
- Systems aimed at adults with poor literacy
- Systems aimed at children learning to read
- Systems aimed at 2nd language learners
- Systems aimed at people with language deficits (aphasia, deafness,
  neurodegeneration, etc.)
- Systems aimed at non-experts accessing technical material


SUBMISSIONS

Papers should prepared in ACL format (see
http://acl2013.org/site/call.html) not exceeding 8 pages in length plus
up to 2 additional pages for references. Papers should also be
anonymised for blind reviewing.

Please submit your paper via the online START Conference Manager system:
https://www.softconf.com/acl2013/PITR2013/

-------------------------------------------------------------------------
Message diffuse par la liste Langage Naturel <LN at cines.fr>
Informations, abonnement : http://www.atala.org/article.php3?id_article=48
English version       : 
Archives                 : http://listserv.linguistlist.org/archives/ln.html
                                http://liste.cines.fr/info/ln

La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion  : http://www.atala.org/
-------------------------------------------------------------------------



More information about the Ln mailing list