Conf: NLPNN'99

[Philippe Blache]

From: nlprs 99 <nlprs99 at korterm.kaist.ac.kr>




           CALL FOR PARTICIPATION
        NLPNN'99: NLP and NEURAL NET Workshop
              A Pre-Workshop of NLPRS'99
            Date: 5/Nov/1999
  Http://korterm.kaist.ac.kr/nlprs99



The artificial neural networks (ANN) began to be an attract approach
to natural language processing (NLP) since several works on parsing
were done using ANN techniques in 1985. 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 workshop will provide a forum for researchers in both the areas
of ANN and NLP who are interested in advancing the state in developing
NLP techniques by using ANN approach.


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NLPNN'99 Program

November 5 1999

13:00-13:30
(1)Automated Language Processing with Neural Networks: the ALPINE
   Partial Parser [Caroline Lyon]

13:30-13:45
(2)Connectionist Learning Applied to a Brazilian Portuguese Grammar
   Checking [Andreia Gentil Bonfante and Dra. Maria das Gracas Volpe
   Nunes]

13:45-14:00
(3)Syntactic Analysis using Heterogeneous Neural Networks [B. K. Murthy]

14:00-14:30
(4)Performance of Structural Generalization in Connectionist Japanese
   Complex Sentence Parser [Minoru Motoki and Yoshio Shimazu]

14:30-14:45
(5)Simplifying and Employment of Feature-Uniform Based HPSG Grammatical
   Theory [Xie Jinbao and Qian Wenbo]

14:45-15:00
(6)A Receptive Field Neural Network which Learns to Describe Facial
   Expressions [James M. Hogan, Michael Norris, and Joachim Diederich]

15:00-15:15
(7)Multifeature-Based Approach to Automatic Error Detection and
   Correction of Chinese Text [Lei Zhang, Ming Zhou, Changning Huang,
   and Haihua Pan]

15:15-15:30
Coffee Break

15:30-16:00
(8)Name Searching with Artificial Neural Networks [Mark Lewellen]

16:00-16:30
(9)Thai Text-Dependent Speaker Identification by ANN with Two
   Differences Time Normalization Techniques [Chai Wutiwiwatchai, Sutat
   Sae-tang, and Chularat Tanprasert]

16:30-17:00
(10)Part of Speech Tagging with Mixed Approaches of Neural Networks and
    Transformation Rules [Qing Ma, Masaki Murata, Masao Utiyama,
    Kiyotaka Uchimoto, and Hitoshi Isahara]

17:00-17:15
(11)Massively Parallel POS Tagging Using Min-Max Modular Neural Network
    [Bao-Liang Lu, Qing Ma, Michinori Ichikawa, and Hitoshi Isahara]

17:15-17:45
(12)Sparsely-Connected Recurrent Neural Networks for Natural Language
    Learning [Claire D'Este, Michael Towsey, and Joachim Diederich]

17:45-18:00
(13)Natural Language Processing with Recurrent Neural Networks as
    Finite-State Automata with External Parallel-Access Memory [Roman
    Pozarlik]

18:00-18:15
(14)Evolution of Symbolisation: A Connectionist Exploration [Ronan
    G. Reilly]