LINGUIST List 12.1561

Wed Jun 13 2001

Calls: Syntax/Predication, NLP/Neural Networks

Editor for this issue: Jody Huellmantel <jodylinguistlist.org>


As a matter of policy, LINGUIST discourages the use of abbreviations or acronyms in conference announcements unless they are explained in the text.

Directory

  1. Niina Zhang, Syntax of Predication
  2. ISAHARA Hitoshi, Natural Language Processing/Neural Networks - NLPNN2001

Message 1: Syntax of Predication

Date: Wed, 13 Jun 2001 11:10:56 +0800
From: Niina Zhang <zhangzas.gwz-berlin.de>
Subject: Syntax of Predication

Workshop on Syntax of Predication
Nov. 2 (Fri.) - 3 (Sat.), 2001, ZAS, Berlin
Organized by the Project Group of Syntax of Predication, ZAS Berlin

Call for papers

This workshop is aimed to discuss the following theoretical issues in the
minimalist approach of generative grammar:

1. Is predication a syntactic relation (Rothstein 1992, Bowers 2001) or not
(Hornstein 2001)?
Relevantly, does syntax have a correlate of "lambda abstraction" such as
predicate operators, PrP (Bowers 1993, 2001), or/and some special
predicate-related features similar to or in contrast to case features of
arguments (Bailyn 2001 ZASPIL-22, Adger & Ramchand 2001 WCCFL-20)? Even
without these special elements in computation, how is a predication
relation licensed syntactically (any (a)symmetric c-command and locality
conditions? Cf. Williams 1980)? Also, how syntactic operations interact
with predication (Moro 2000, 2001)?

2. How is non-primary predication different from primary predication
syntactically?
Relevantly, how are non-primary predicates integrated into the syntactic
structures of primary predication? What do the structural properties of
various types of non-primary predication constructions (depictive,
resultative, perceptional, epistemic verb constructions, mental attitude
verb constructions, etc.) tell us about the syntactic structures and
operations in general? 

3. Considering the syntax of complex-predicate constructions, we also look
forward to discussion of notions of small clause, predication of event
subject (including Williams' (1985: 308 NLLT) S-control), etc., and new
understanding of phenomena such as various types of argument-sharing,
parasitic gaps, serial verb constructions, and the Warlpiri-style
nonconfigurationality, which has been claimed to show properties of
depictive secondary predicate constructions (Speas 1990, Baker 2001, contra
Legate 2001), with respect to the basic principles of minimalist syntax.

Deadline of abstract submission: Aug. 31, 2001.
Abstracts should be anonymous, maximally two pages long, 12 point, single
spacing, and be sent by email or attachment files via email. In your email,
list the title of the abstract, name of author(s), affiliation, and email
address.
Maximally 10 abstracts will be selected and the travel cost of the selected
speakers may be partially covered by ZAS http://www.zas.gwz-berlin.de .
Contact: Niina Zhang (zhangzas.gwz-berlin.de)
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Message 2: Natural Language Processing/Neural Networks - NLPNN2001

Date: Wed, 13 Jun 2001 20:42:41 +0900
From: ISAHARA Hitoshi <isaharacrl.go.jp>
Subject: Natural Language Processing/Neural Networks - NLPNN2001


====================================================================

 Call for Papers --- NLPRS2001 Workshop	

 The Second Workshop on Natural Language Processing and Neural Networks 
 (NLPNN2001)
 Tokyo, Japan, November 30, 2001
 http://www2.crl.go.jp/jt/a132/members/qma/NLPNN2001/index.html 

Artificial neural networks (ANN) based natural language processing (NLP)
research began in the early 1980s with papers on implementing semantic
networks in ANNs, word-sense disambiguation, anaphora resolution, and
syntactic parsing. Since then, with the boom of NLP research based on
very large corpora, the ANN, as a powerful parallel and distributed
learning/processing machine, attract a more great deal of attention from
both the ANN and NLP researchers and have been successfully used in many
areas of NLP.

This second workshop on NLP and ANN is to be held in Tokyo as a
post-conference workshop of NLPRS2001. It continues the work of the
first workshop on NLP and ANN, NLPNN99, successfully held in Beijing
two years ago. NLPNN2001 will provide a forum for researchers in the
areas of ANN and NLP who are interested in advancing the state of the
art in developing NLP techniques using neural networks.

For more information on NLPRS2001, see
http://www.r.dl.itc.u-tokyo.ac.jp/NLPRS2001.html

The papers presented at NLPNN99 are available from
http://www2.crl.go.jp/jt/a132/members/qma/NLPNN99/index.html

Submissions are invited on all NLP topics in the context of using ANN
techniques. A submission consists of a two-page summary (2000 words or
less), accompanied by paper title, author information including full
names, affiliations of all authors, and the postal and email addresses
of the corresponding author.

Submissions will be reviewed by the Workshop Program Committee, and
authors will be notified of acceptance or rejection by email.

Submit by email to qmacrl.go.jp

IMPORTANT DATES

Summary submission deadline: July 31, 2001
Notification of acceptance: August 15, 2001
Camera ready papers due: 	September 26, 2001

Inquiries concerning the workshop can be sent to one of the organizers 
either by email to qmacrl.go.jp or by post to the following address:

Dr. Qing Ma 
Computational Linguistics Group
Keihanna Human Info-Communication Research Center
Communications Research Laboratory
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0289, Japan

Organizers
Hitoshi Isahara (Communications Research Laboratory, Japan)
Qing Ma (Communications Research Laboratory, Japan)

Program Committee
Qing Ma (Communications Research Laboratory, Japan), Chair
Gary Geunbae Lee (Pohang University of Science and Technology, Korea)
Caroline Lyon (University of Hertfordshire, UK)
Daniel Memmi (LEIBNIZ-IMAG, France)
Risto Miikkulainen (University of Texas, USA)
Ron Sun (University of Missouri-Columbia, USA)
Naoto Takahashi (AIST, Japan) 
Ming Zhou (Microsoft Research China, China)
other members will be announced shortly
====================================================================
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