NLPNN'99: The First Workshop on Natural Language Processing and
Neural Networks
November 5, 1999, Beijing, China
NLPRS'99
Paper List
Preface
This volume contains the papers presented at the NLPRS'99 Workshop on
Natural Language Processing and Neural Networks (NLPNN'99).
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.
Submissions were invited on all NLP topics in the context of using ANN
techniques. We have received papers from North and South America,
Europe, South and East Asia, and Oceania. The papers were reviewed and
selected by the program committee. We would like to express our sincere
gratitude to all those who have contributed to the program.
Hitoshi Isahara
Qing Ma
Organizers
Hitoshi Isahara (Communications Research Laboratory, Japan)
Qing Ma (Communications Research Laboratory, Japan)
Program Committee (in alphabetical order)
Qing Ma (Communications Research Laboratory, Japan), Chair
Daniel Memmi (LEIBNIZ-IMAG, France)
Naoto Takahashi (Electrotechnical Laboratory, Japan)
Qiang Zhou (Tsinghua University, China)
Paper List
- Automated Language Processing with
Neural Networks: the ALPINE Partial Parser (Caroline Lyon)
- Connectionist Learning
Applied to a Brazilian Portuguese Grammar Checking (Andreia Gentil
Bonfante and Dra. Maria das Gracas Volpe Nunes)
- Performance of Structural
Generalization in Connectionist Japanese Complex Sentence Parser (Minoru
Motoki and Yoshio Shimazu)
- Simplifying and Employment of
Feature-Uniform Based HPSG Grammatical Theory (Xie Jinbao and Qian Wenbo)
- A Receptive Field Neural Network which
Learns to Describe Facial Expressions (James M. Hogan, Michael Norris,
and Joachim Diederich)
- Name Searching with Artificial
Neural Networks (Mark Lewellen)
- Thai Text-Dependent Speaker
Identification by ANN with Two Differences Time Normalization
Techniques (Chai Wutiwiwatchai, Sutat Sae-tang, and Chularat Tanprasert)
- Part of Speech Tagging with Mixed
Approaches of Neural Networks and
Transformation Rules (Qing Ma, Masaki Murata, Masao Utiyama, Kiyotaka
Uchimoto, and Hitoshi Isahara)
- Massively Parallel POS Tagging Using
Min-Max Modular Neural Networks (Bao-Liang Lu, Qing Ma, Michinori
Ichikawa, and Hitoshi Isahara)
- Sparsely-Connected Recurrent Neural
Networks for Natural Language Learning (Claire D'Este, Michael Towsey,
and Joachim Diederich)
- Natural Language Processing with
Recurrent Neural Networks
as Finite-State Automata with External Parallel-Access Memory (Roman Pozarlik)
- Multifeature-Based Approach to
Automatic Error Detection and
Correction of Chinese Text (Lei Zhang, Ming Zhou, Changning Huang, and
Haihua Pan)
- Evolution of Symbolisation: A
Connectionist Exploration (Ronan G. Reilly)