9.101, Calls: Perceiving/Performing Gender, TANLPS (Final)
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Thu Jan 22 01:11:24 UTC 1998
LINGUIST List: Vol-9-101. Thu Jan 22 1998. ISSN: 1068-4875.
Subject: 9.101, Calls: Perceiving/Performing Gender, TANLPS (Final)
Moderators: Anthony Rodrigues Aristar: Texas A&M U. <aristar at linguistlist.org>
Helen Dry: Eastern Michigan U. <hdry at linguistlist.org>
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==========================================================================
Please do not use abbreviations or acronyms for your conference unless
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=================================Directory=================================
1)
Date: Wed, 21 Jan 1998 16:01:02 +0100
From: "Dr. Friederike Braun" <braun at zif.uni-kiel.de>
Subject: Perceiving and Performing Gender
2)
Date: Wed, 21 Jan 1998 16:17:25 +0100
From: Roberto Basili <basili at info.utovrm.it>
Subject: TANLPS Workshop: Final Call for paper
-------------------------------- Message 1 -------------------------------
Date: Wed, 21 Jan 1998 16:01:02 +0100
From: "Dr. Friederike Braun" <braun at zif.uni-kiel.de>
Subject: Perceiving and Performing Gender
Perceiving and Performing Gender
4th Symposium on Gender Research at Kiel University, Germany
November 12-14, 1998
The conference focuses on the central question: How do social
perceptions alongside the behaviour of individuals contribute
to the construction of gender?
- How do we interpret and assess women and men?
- Which properties and modes of behaviour do we ascribe to each
gender?
- Are gender differences the result of a gendered behaviour,
or do they base themselves on gender-stereotyped expectations?
This symposium opens the possibility of discussing these and other
questions in a cross-disciplinary and international perspective.
Keynote speakers
Prof. Dr. Jutta Allmendinger
Institut fur Soziologie
Ludwig-Maximilian-Universitat Munchen
Prof. Dr. Mahzarin R. Banaji
Department of Psychology
Yale University
Prof. Dr. J. Richard Hackman
Department of Psychology
Harvard University
Prof. Dr. Thomas Laqueur
Department of History
University of California, Berkeley
Prof. Dr. Donald G. MacKay
Department of Psychology
University of California, Los Angeles
Prof. Dr. Anthony Mulac
Department of Communication
University of California, Santa Barbara
Prof. Dr. Rosanne Stone
Advanced Communication Technologies Laboratory
Department of Radio-TV-Film
The University of Texas
Call for papers
In addition to the presentations by the keynote speakers, we are
accepting papers on further topics. Interested researchers should send
us a brief abstract of their proposed presentation. This abstract
should be written in either English or German and be no longer than
one typewritten page. Of those papers accepted to the symposium,
several will be chosen for publication in a collection of highlights
from the conference.
Language
The symposium will be conducted in both English and German.
Presentations and comments can be formulated and contributed in either
language.
Deadlines
Proposal abstracts must be received by ZiF no later than 30 April
1998. Registration deadline for the symposium is 1 October 1998.
Fees
Registration costs DM 120. This price is reduced to DM 30 for students
and umemployed academics.
For registration and further information please contact:
Susanne Oelkers, M.A.
ZiF Centre for Interdisciplinary Research on Women and Gender
Christian Albrecht University Tel.: (German code) (0) 431 57949 51
Olshausenstr. 40 FAX: (German code) (0) 57949 50
D-24098 Kiel email: <oelkers at zif.uni-kiel.de>
Germany
-------------------------------- Message 2 -------------------------------
Date: Wed, 21 Jan 1998 16:17:25 +0100
From: Roberto Basili <basili at info.utovrm.it>
Subject: TANLPS Workshop: Final Call for paper
TANLPS Workshop : Final Call for Papers
held at the European Conference on Machine Learning (ECML'98),
Chemnitz, Germany 21-24 April 1998
(WWW address:http://www.tu-chemnitz.de/informatik/ecml98/).
TANLPS
Towards adaptive NLP-driven systems:
linguistic information, learning methods and applications
24 April 1998
Organized by :
R. Basili, M. T. Pazienza
(University of Roma, Tor Vergata, ITALY)
Since most of its applications, from syntactic to semantic, are
lexicon driven, systematic and reliable acquisition on a large scale
of linguistic information is the real challenge to Natural Language
Processing (NLP). Empiricist view on Natural Language Processing and
Learning has become recently more attractive for a wider research
community: computational linguistics, artificial intelligence,
psychology then seemed to converge on a specific data-oriented
perspective aiming to overcome the traditional knowledge acquisition
bottleneck.
It has been often noted that the limited attention paid by the machine
learning community to text and speech data seems unjustified. It is
thus more and more evident that empirical learning of Natural Language
Processing (NLP) can alleviate the NLP main problem by means of a
variety of methods for the automatic induction of lexical knowledge.
Lexical knowledge is often hard to compile by hand, and even harder to
port and reuse. NLP application systems still have a low impact on
real world problems, mainly due to the costs related to reusability
and customization of the required lexicons. In particular, changes in
the domain causes changes in the lexical information required in the
underlying natural language. Empirical, symbolic machine learning
methods can be perfectly suited for this task like automatic
acquisition and adaptation of this knowledge. Rule induction, symbolic
approaches to clustering, lazy learning, and inductive logic
programming, have been already proposed by a growing community that is
entering the challenge for theoretical (i.e. methodological) and
application purposes A variety of techniques seems to be combined in
order to successfully design realistic inductive systems for text
processing: the target of this research is to define methods and
design principles for systems combining linguistic and lexical
learning capabilities for large scale language processing tasks. This
is what we mean with adaptive NLP-driven systems.
Within this research task, some issues can favour a synergistic
process between NLP and ML areas: the access to large data sets, that
are even increasing over time, due to the telematics facilities
available nowadays; extending the set of typical classes of ML
problems to other hard cases (particularly dense in the NLP
processes); adding inductive capabilities to NLP system for tasks
related to specific applications (i.e. Information Extraction).
The proposed Workshop thus aims at stimulating reasearch and
discussion on the following aspects :
- Establishing results and evidencies on the suitability of different
ML paradigms on specific levels of representation of lexical knowledge
(morphology, syntax, linguistic inference among others)
- Comparison of the quantitative approaches to lexical acquisition
with empirical symbolic methods
- Stimulating discussion on cognitive perspective of some models
within a plausible architecture for Language Processing and Learning
- Establishing results on the applicability of the extracted/induce
knowledge within NLP systems, with respect to assessed evaluation
criteria, typical of the ML and Language Engineering (LE) area
- Case studies on adaptive NLP systems, i.e. effective NLP systems
integrating linguistic inferences with inductive capabilities (WWW KB
at CMU, ECRAN, ...),
- Critical review of existing experiences on adaptive NLP systems
- Establishing guidelines for an evaluation framework of adaptive NLP
systems : accuracy of the linguistic process, robustness of the
induction process, ...
- Promote cooperation among research groups in Europe and USA to
exchange ideas, data and tools for design and experiment architectures
for adaptive NLP systems
Related Events
A parallel workshop will be also held in the ECML conference: "Text
Mining" organized by Yves Kodratoff. Although close in intent and
topics, the two workshops have a specific "identity" in terms of area
of research, multidisciplinary aspects and contributions. So, in order
to enhance the discussion and the synergistic contributions to the two
independent approaches, submissions covering common problems
(i.e. adaptive data mining from textual data) will undergo a specific
review, in cooperation with the other workshop PC. In fact, a joint
(half day) session on specific borderline topics as well as on
existing (hybrid) systems has been planned and a subset of the
accepted papers will be presented there. A particular effort will be
asked to authors for stressing/enhancing synergistic aspects. The
Program Committee will suggest guidelines to compare/generalize/extend
individual contributions in this specific perspective.
WorkShop format :
The Workshop is expected to cover the whole day. In the first
session, apart from an invited talk, we expect to cover methodological
issues. Papers related to advanced research on suitability of learning
paradigms for the different target lexical information will be
favoured. Prototypical examples in this area are studies on empirical
learning of tasks like POS tagging, induction of grammatical
information, symbolic learning of word sense disambiguation criteria
and lexical semantic information. A panel discussion is expected to
close the morning session and focus on principles of suitability for
learning paradigms vs. lexical levels. In the second session we
expect to stimulate participants to cover application areas, like IR
and IE, on original research works that are currently under
development in several research centres in Europe (Sheffield, Tilburg,
Rome Tor Vergata and Torino Universities). A Panel discussion on the
implication of the adaptive paradigm on existing and potential NLP
systems will close the Workshop.
Program Committee
R. Basili (University of Roma, Tor Vergata, ITALY)
M. Craven (Carnegie Mellon University, USA)
W. Daelemans (University of Tilburg, NEDERLANDS)
M.T. Pazienza (University of Roma, Tor Vergata, ITALY)
L. Saitta (University of Torino, ITALY)
C. Samuelssonn (Bell Labs, AT&T, USA)
Y. Wilks (University of Sheffield, UK)
Paper Submission:
============
Papers should not exceed 3000 words or 6 pages.
Hard Copy Submission:
Three copies of the paper should be sent to:
Roberto Basili
Department of Computer Science, Systems and Production
University of Roma, Tor Vergata
Via di Tor Vergata
00133 Roma (ITALY)
e-mail: basili at info.utovrm.it
Electronic Submission:
Electronic submission may be in either self-contained Postscript or
RTF formats, to
basili at info.utovrm.it
For each submission -- whether hard copy or electronic -- a separate
plain ascii text email message should be sent to Roberto Basili,
containing the following information:
# NAME : Name of first author
# TITLE: Title of the paper
# PAGES: Number of pages
# FILES: Name of file (if attachments are submitted electronically)
# NOTE : Any relevant instructions
# KEYS : Keywords
# EMAIL: Email of the first author
# ABSTR: Abstract of the paper
. . . . . .
Important dates:
Workshop Final Call for Papers : 20 January 1998
Papers due : 20 February 1998
Notification of Acceptance : 5 March 1998
Final version due : 25 March 1998
Workshop: 24 April 1998.
- ----------------------------------------------------
Roberto Basili
Department of Computer Science, Systems and Production
University of Roma, Tor Vergata
Via di Tor Vergata
00133 Roma (ITALY)
e-mail: basili at info.utovrm.it
tel: +39 - 6 - 7259 7391
fax: +39 - 6 - 7259 7460
- ----------------------------------------------------
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