CoNLL 2001
27 papers
Boosting trees for clause splitting
Xavier Carreras, Lluis Marquez
Clause detection using HMM
Antonio Molina, Ferran Pla
Memory-based clause identification
Erik F. Tjong Kim Sang
Using ALLiS for clausing
Hervé Déjean
Clause identification with long short-term memory
James Hammerton
Boosted decision graphs for NLP learning tasks
Jon D. Patrick, Ishaan Goyal
A psychologically plausible and computationally effective approach to learning syntax
Stephen Watkinson, Suresh Manandhar
Combining linguistic and machine learning techniques for email summarization
Smaranda Muresan, Evelyne Tzoukermann, Judith L. Klavans
Learning to identify animate references
Constantin Orasan, Richard Evans
Automatic distinction of arguments and modifiers: the case of prepositional phrases
Paola Merlo, Matthias Leybold
Distributional phrase structure induction
Dan Klein, Christopher D. Manning
Unsupervised induction of stochastic context-free grammars using distributional clustering
Alexander Clark
Learning Computational Grammars
John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Hammerton
A mixture-of-experts framework for text classification
Andrew Estabrooks, Nathalie Japkowicz
Introduction to the CoNLL-2001 shared task: clause identification
Erik F. Tjong Kim Sang, Hervé Déjean
Probabilistic models for PP-attachment resolution and NP analysis
Eric Gaussier, Nicola Cancedda
Exploring evidence for shallow parsing
Xin Li, Dan Roth
Automatic verb classification using multilingual resources
Vivian Tsang, Suzanne Stevenson
Semantic pattern learning through maximum entropy-based WSD technique
Maximiliano Saiz-Noeda, Armando Suárez, Manuel Palomar
Learning class-to-class selectional preferences
Eneko Agirre, David Martinez
Combining a self-organising map with memory-based learning
James Hammerton, Erik F. Tjong Kim Sang
Multidimensional transformation-based learning
Radu Florian, Grace Ngai