Papers
BusTUC - A natural language bus route oracle
Tore Amble
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
Erin L. Allwein, Robert E. Schapire, Yoram Singer
Learning Evaluation Functions to Improve Optimization by Local Search
Justin Boyan, Andrew W. Moore
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
David Heckerman, David Maxwell Chickering, Christopher Meek et al.
Learning with Mixtures of Trees
Marina Meila, Michael I. Jordan
Recognition and Tagging of Compound Verb Groups in Czech
Eva Zácková, Luboš Popelínský, 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, Cecile Fabre
Learning from Parsed Sentences with INTHELEX
F. Esposito, S. Ferilli, N. Fanizzi et al.
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