Papers
Applying Co-Training Methods to Statistical Parsing
Anoop Sarkar
A psychologically plausible and computationally effective approach to learning syntax
Stephen Watkinson, Suresh Manandhar
A Sequential Model for Multi-Class Classification
Yair Even-Zohar, Dan Roth
A Statistical Model for Domain-Independent Text Segmentation
Masao Utiyama, Hitoshi Isahara
A Structured Language Model Based on Context-Sensitive Probabilistic Left-Corner Parsing
Dong Hoon Van Uytsel, Filip Van Aelten, Dirk Van Compernolle
A Syntax-based Statistical Translation Model
Kenji Yamada, Kevin Knight
Automatic Corpus-based Tone Prediction using K-ToBI Representation
Jin-Seok Lee, Byeongchang Kim, Gary Geunbae Lee
Automatic distinction of arguments and modifiers: the case of prepositional phrases
Paola Merlo, Matthias Leybold
Automatic verb classification using multilingual resources
Vivian Tsang, Suzanne Stevenson
Bayes Point Machines
Ralf Herbrich, Thore Graepel, Colin Campbell
Boosted decision graphs for NLP learning tasks
Jon D. Patrick, Ishaan Goyal
Boosting trees for clause splitting
Xavier Carreras, Lluís Màrquez
Building Semantic Perceptron Net for Topic Spotting
Jimin Liu, Tat-Seng Chua
Chinese Text Segmentation With MBDP-1: Making the Most of Training Corpora
Michael R. Brent, Xiaopeng Tao
Chunking with Support Vector Machines
Taku Kudo, Yuji Matsumoto
Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark, David Weir
Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy
Barbara Rosario, Marti Hearst
Clause detection using HMM
Antonio Molina, Ferran Pla
Clause identification with long short-term memory
James Hammerton
Combining a self-organising map with memory-based learning
James Hammerton, Erik F. Tjong Kim Sang
Combining linguistic and machine learning techniques for email summarization
Smaranda Muresan, Evelyne Tzoukermann, Judith L. Klavans