LINGUIST List 12.2548

Fri Oct 12 2001

Confs: Parsing Technologies, Beijing, China

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  1. Li Baoli, [IWPT 2001] Call for Participation

Message 1: [IWPT 2001] Call for Participation

Date: Fri, 12 Oct 2001 13:53:53 +0800
From: Li Baoli <>
Subject: [IWPT 2001] Call for Participation

 C a l l f o r P a r t i c i p a t i o n

 * IWPT-2001 *

 7th International Workshop on Parsing Technologies

 Sponsored by
 Co-Sponsored by
 Institute of Computational Linguistics of Peking University, China
 Intel Corporation (China)

 17-19 October, 2001
 Beijing, China


 Overseas Exchange Center of Peking University, Beijing, China

PROGRAM (Preliminary)

October 17

 08:30-09:30 Registration

 09:30-09:40 Opening

 09:40-10:40 Invited talk: The XTAG Project at Penn
 Aravind K. Joshi

 10:40-11:10 Coffee/Tea

 11:10-11:50 On Compilation of the Quick-Check Filter for Feature Structure Unification
 Liviu Ciortuz
 11:50-12:30 A Novel Probabilistic Model for Link Unification Grammar
 Fuliang Weng, Naiyong Jin, Jie Meng, Yujia Zhu

 12:30-14:00 Lunch

 14:00-14:40 Grammar Induction by MDL-Based Distributional Classification
 Yikun Guo, Fuliang Weng, Lide Wu
 14:40-15:20 Robust Data Oriented Parsing of Speech Utterances
 Khalil Simaan
 15:20-16:00 Automatic Detection of Prosody Phrase Boundaries for Text-to-Speech System
 Xin Lv, Tie-jun Zhao, Zhan-yi Liu, Mu-yun Yang

 16:00-16:30 Coffee/Tea

 16:30-17:00 Poster Session

 17:00-18:00 Poster presentations
 A Multi-Input Dependency Parser
 Salah Ait-Mokhtar, Jean-Pierre Chanod, Claude Roux
 Property Grammars: a Flexible Constraint-Based Approach to Parsing
 Philippe Blache, Jean-Marie Balfourier
 Automatic Grammar Partitioning for Syntactic Parsing
 Po Chui Luk, Fuliang Weng, Helen Meng
 On Specialised Compilation of Parsing Rules in Unification Grammars
 Liviu Ciortuz
 An Approach to Parsing Vietnamese Noun Compounds
 Dinh Dien, Hoang Kiem
 The Implementation Process of a Statistical Parser for Brasilian Portuguese
 Andreia Gentil Bonfante, Maria das Gracas Volpe Nunes
 Efficient Sentence Parsing with Language Specific Features: A case Study of Czech
 Ales Horak, Pavel Smrz

October 18

 08:30-09:30 Invited talk:
 Parameter Estimation for Statistical Parsing Models: Theory and Practice of 
 Distribution-Free Methods
 Michael Collins
 09:30-10:10 Parsing and Hypergraphs
 Dan Klein, Christopher Manning

 10:10-10:40 Coffee/Tea

 10:40-11:20 High Precision Extraction of Grammatical Relations
 John Carroll, Ted Briscoe
 11:20-12:00 A Minimalist Implementation of Verb Subcategorization
 Sourabh Niyogi
 12:00-12:40 Parsing the CHILDES Database: Methodology and Lessons Learned
 Kenji Sagae, Alon Lavie, Brian Mac Whinney

 12:40-14:00 Lunch

 14:00-18:30 Excursion

 19:00-21:00 Banquet

October 19

 09:00-10:00 Invited talk: Issues in Extracting Information from the Web
 William Cohen
 10:00-10:40 Unsupervised POS-Tagging Improves Parsing Accuracy and Parsing Efficiency
 Robbert Prins, Gertjan van Noord

 10:40-11:10 Coffee/Tea

 11:10-11:50 Generalized epsilon-Skip Discriminating-Reverse Parsing on Graph-Structured Stack
 Jose Fortes Galvez, Jacques Farre
 11:50-12:30 On the Complexity of Some Extensions of RCG Parsing
 Eberhard Bertsch, Mark-Jan Nederhof

 12:30-14:00 Lunch

 14:00-14:40 Bidirectional Automata for Tree Adjoining Grammars
 Miguel Alonso, Victor Diaz, Manuel Vilares
 14:40-15:20 Bidirectional Ascendant Parsing for Natural Language Processing
 Stefan Andrei
 15:20-16:00 Probabilistic Modelling of Island-Driven Parsing
 Alicia Ageno, Horacio Rodriguez

 16:00-16:30 Coffee/Tea

 16:30-17:00 Poster Session

 17:00-18:00 Poster presentations
 Efficient Incremental Dependency Parsing
 Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki
 Direct Bottom-Up Chart Parsing Using Abbreviated Context-Free Grammars
 Guido Minnen, William Thompson, Harry Bliss, Dale Russell
 Word-Order Relaxations & Restrictions within a Dependency Grammar
 Martin Platek, Tomas Holan, Vladislav Kubon, Karel Oliva
 Inside-Outside Estimation Meets Dynamic EM
 Detlef Prescher
 Knowledge Acquisition from a Text by a Linguistic and Statistical Method
 Jean-David Sta, Yun-Chuang Chiao
 Buffered Shift-Reduce Parsing
 Bing Swen
 How Much Will a RE-Based Preprocessor Help a Statistical Parser?
 Daniel Zeman

 18:00-18:10 Closing

- ------------------------------------------------
Li Baoli
Institute of Computational Linguistic
Department of Computer Science and Technology
Peking University
Beijing, 100871 Phone:86-10-62765835(Lab)
P.R. China Email:
- ------------------------------------------------
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