Programme CoNLL-2001

University of Social Sciences, Toulouse, France.

Friday July 6, 2001

08.45 - 09.00

Opening

Learning Methods

09.00 - 09.30
Multidimensional Transformation-Based Learning
Radu Florian and Grace Ngai (abstract)

09.30 - 10.00
Combining a self-organizing map with memory-based learning
James Hammerton and Erik F. Tjong Kim Sang (abstract)

Invited Lecture

10.00 - 11:00
Empirical NLP: Does the web change everything?
Eric Brill

11.00 - 11.30

Break

11.30 - 12.30

Shared Task Session: Clause Identification (rescheduled)

12.30 - 14.00

Lunch

Semantics I

14.00 - 14.30

Learning class-to-class selectional preferences
Eneko Agirre and David Martinez (abstract)

14.30 - 15.00

Semantic Pattern Learning Through Maximum Entropy-based WSD technique
Maximiliano Saiz-Noeda, Armando Suárez and Manuel Palomar (abstract)

15.00 - 15.30

Automatic Verb Classification Using Multilingual Resources
Vivian Tsang and Suzanne Stevenson (abstract)

15.30 - 16.00

Break

Syntax Learning I

16.00 - 16.30
Exploring Evidence for Shallow Parsing
Xin Li and Dan Roth (abstract)

16.30 - 17.00
Probabilistic Models for PP-attachment Resolution and NP Analysis
Eric Gaussier and Nicola Cancedda (abstract)

NLP Applications I

17.00 - 17.30

A Mixture-of-Experts Framework for Text Classification
Andrew Estabrooks and Nathalie Japkowicz (abstract) (rescheduled)

Saturday July 7, 2001

Minimizing training material

09.00 - 09.30
On Minimizing Training Corpus for Parser Acquisition
Rebecca Hwa (abstract)

09.30 - 10.00
Morpholog: Constrained and Supervised Learning of Morphology
Rémi Zajac (abstract)

Invited Speaker

10.00 - 11.00
Learning Computational Grammars
John Nerbonne (abstract)

11.00 - 11.30

Break

Syntax Learning II

11.30 - 12.00
Unsupervised Induction of Stochastic Context-Free Grammars using Distributional Clustering
Alexander Clark (abstract)

12.00 - 12.30
Distributional Phrase Structure Induction
Dan Klein and Christopher Manning (abstract)

12.30 - 14.00

Lunch

Semantics II

14.00 - 14.30

Automatic Distinction of Arguments and Modifiers: the Case of Prepositional Phrases
Paola Merlo and Matthias Leybold (abstract)

14.30 - 15.00

Learning to identify animate references
Constantin Orasan and Richard Evans (abstract)

15.00 - 15.30

Coreference Resolution with Syntactico-Semantic Rules and Corpus Statistics
Sven Hartrumpf (abstract)

15.30 - 16.00

Break

NLP Applications II

16.00 - 16.30

Inducing Probabilistic Invertible Translation Grammars from Aligned Texts
Michael Carl (abstract)

16.30 - 17.00

Combining Linguistic and Machine Learning Techniques for Email Summarization
Smaranda Muresan, Evelyne Tzoukermann and Judith L. Klavans (abstract)

Cognitive models of learning

17.00 - 17.30

A Psychologically Plausible and Computationally Effective Approach to Learning Syntax
Stephen Watkinson and Suresh Manandhar (abstract)

17.30 - 18.00

SIGNLL meeting

Friday July 6, 2001
08.45 - 09.00	Opening
Learning Methods
09.00 - 09.30	Multidimensional Transformation-Based Learning Radu Florian and Grace Ngai (abstract)
09.30 - 10.00	Combining a self-organizing map with memory-based learning James Hammerton and Erik F. Tjong Kim Sang (abstract)
Invited Lecture
10.00 - 11:00	Empirical NLP: Does the web change everything? Eric Brill
11.00 - 11.30	Break
11.30 - 12.30	Shared Task Session: Clause Identification (rescheduled)
12.30 - 14.00	Lunch
Semantics I
14.00 - 14.30	Learning class-to-class selectional preferences Eneko Agirre and David Martinez (abstract)
14.30 - 15.00	Semantic Pattern Learning Through Maximum Entropy-based WSD technique Maximiliano Saiz-Noeda, Armando Suárez and Manuel Palomar (abstract)
15.00 - 15.30	Automatic Verb Classification Using Multilingual Resources Vivian Tsang and Suzanne Stevenson (abstract)
15.30 - 16.00	Break
Syntax Learning I
16.00 - 16.30	Exploring Evidence for Shallow Parsing Xin Li and Dan Roth (abstract)
16.30 - 17.00	Probabilistic Models for PP-attachment Resolution and NP Analysis Eric Gaussier and Nicola Cancedda (abstract)
NLP Applications I
17.00 - 17.30	A Mixture-of-Experts Framework for Text Classification Andrew Estabrooks and Nathalie Japkowicz (abstract) (rescheduled)
Saturday July 7, 2001
Minimizing training material
09.00 - 09.30	On Minimizing Training Corpus for Parser Acquisition Rebecca Hwa (abstract)
09.30 - 10.00	Morpholog: Constrained and Supervised Learning of Morphology Rémi Zajac (abstract)
Invited Speaker
10.00 - 11.00	Learning Computational Grammars John Nerbonne (abstract)
11.00 - 11.30	Break
Syntax Learning II
11.30 - 12.00	Unsupervised Induction of Stochastic Context-Free Grammars using Distributional Clustering Alexander Clark (abstract)
12.00 - 12.30	Distributional Phrase Structure Induction Dan Klein and Christopher Manning (abstract)
12.30 - 14.00	Lunch
Semantics II
14.00 - 14.30	Automatic Distinction of Arguments and Modifiers: the Case of Prepositional Phrases Paola Merlo and Matthias Leybold (abstract)
14.30 - 15.00	Learning to identify animate references Constantin Orasan and Richard Evans (abstract)
15.00 - 15.30	Coreference Resolution with Syntactico-Semantic Rules and Corpus Statistics Sven Hartrumpf (abstract)
15.30 - 16.00	Break
NLP Applications II
16.00 - 16.30	Inducing Probabilistic Invertible Translation Grammars from Aligned Texts Michael Carl (abstract)
16.30 - 17.00	Combining Linguistic and Machine Learning Techniques for Email Summarization Smaranda Muresan, Evelyne Tzoukermann and Judith L. Klavans (abstract)
Cognitive models of learning
17.00 - 17.30	A Psychologically Plausible and Computationally Effective Approach to Learning Syntax Stephen Watkinson and Suresh Manandhar (abstract)
17.30 - 18.00	SIGNLL meeting