CoNLL 2000

45 papers

Recognition and Tagging of Compound Verb Groups in Czech

Eva Zácková, Lubos Popelínsky, Miloš Nepil

The Acquisition of Word Order by a Computational Learning System

Aline Villavicencio

Inductive Logic Programming for Corpus-Based Acquisition of Semantic Lexicons

Pascale Sébillot, Pierrette Bouillon, Cécile Fabre

Learning from Parsed Sentences with INTHELEX

F. Esposito, S. Ferilli, N. Fanizzi, G. Semeraro

Incorporating Linguistics Constraints into Inductive Logic Programming

James Cussens, Stephen Pulman

Learning from a Substructural Perspective

Pieter Adriaans, Erik de Haas

Extracting a Domain-Specific Ontology from a Corporate Intranet

Jörg-Uwe Kietz, Raphael Volz, Alexander Maedche

Hybrid Text Chunking

Guodong Zhou, Jian Su, TongGuan Tey

Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL Task

Marc Vilain, David Day

Single-Classifier Memory-Based Phrase Chunking

Jorn Veenstra, Antal van den Bosch

Chunking with WPDV Models

Hans van Halteren

Text Chunking by System Combination

Erik F. Tjong Kim Sang

Improving Chunking by Means of Lexical-Contextual Information in Statistical Language Models

Ferran Pla, Antonio Molina, Natividad Prieto

Shallow Parsing as Part-of-Speech Tagging

Miles Osborne

Use of Support Vector Learning for Chunk Identification

Taku Kudoh, Yuji Matsumoto

Chunking with Maximum Entropy Models

Rob Koeling

A Context Sensitive Maximum Likelihood Approach to Chunking

Christer Johansson

Learning Syntactic Structures with XML

Hervé Déjean

Introduction to the CoNLL-2000 Shared Task Chunking

Erik F. Tjong Kim Sang, Sabine Buchholz

A Comparison of PCFG Models

Jose Luis Verdú-Mas, Jorge Calera-Rubio, Rafael C. Carrasco

A Default First Order Family Weight Determination Procedure for WPDV Models

Hans van Halteren

Learning IE Rules for a Set of Related Concepts

J. Turmo, H. Rodriguez

Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models

Patrick Ruch, Robert Baud, Pierrette Bouillon, Gilbert Robert

Shallow Parsing by Inferencing with Classifiers

Vasin Punyakanok, Dan Roth

Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing

Anne Kool, Walter Daelemans, Jakub Zavrel

Combining Text and Heuristics for Cost-Sensitive Spam Filtering

José M. Gómez Hidalgo, Manual Maña López, Enrique Puertas Sanz

ALLiS: a Symbolic Learning System for Natural Language Learning

Hervé Déjean

Inducing Syntactic Categories by Context Distribution Clustering

Alexander Clark

Generating Synthetic Speech Prosody with Lazy Learning in Tree Structures

Laurent Blin, Laurent Miclet

Experiments on Unsupervised Learning for Extracting Relevant Fragments from Spoken Dialog Corpus

Konstantin Biatov

Using Perfect Sampling in Parameter Estimation of a Whole Sentence Maximum Entropy Language Model

F. Amaya, J. M. Benedí

Using Induced Rules as Complex Features in Memory-Based Language Learning

Antal van den Bosch

Knowledge-Free Induction of Morphology Using Latent Semantic Analysis

Patrick Schone, Daniel Jurafsky

Modeling the Effect of Cross-Language Ambiguity on Human Syntax Acquisition

William Gregory Sakas

Learning Distributed Linguistic Classes

Stephan Raaijmakers

Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars

Tony Mullen, Miles Osborne

Memory-Based Learning for Article Generation

Guido Minnen, Francis Bond, Ann Copestake

Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation Model

George Foster

A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation

Gerard Escudero, Lluis Marquez, German Rigau

Increasing our Ignorance’ of Language: Identifying Language Structure in an Unknown ‘Signal’

John Elliot, Eric Atwell, Bill Whyte

The Role of Algorithm Bias vs Information Source in Learning Algorithms for Morphosyntactic Disambiguation

Guy De Pauw, Walter Daelemans

Pronunciation by Analogy in Normal and Impaired Readers

R.I. Damper, Y. Marchand

Corpus-Based Grammar Specialization

Nicola Cancedda, Christer Samuelsson

Learning in Natural Language: Theory and Algorithmic Approaches

Dan Roth

Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop