Papers
Text and Knowledge Mining for Coreference Resolution
Sanda M. Harabagiu, Razvan C. Bunescu, Steven J. Maiorano
Unsupervised Learning of Name Structure From Coreference Data
Eugene Charniak
Transformation Based Learning in the Fast Lane
Grace Ngai, Radu Florian
Question Answering Using Maximum-Entropy Components
Abraham Ittycheriah, Martin Franz, Wei-Jing Zhu et al.
Why Inverse Document Frequency?
Kishore Papineni
SPoT: A Trainable Sentence Planner
Marilyn A. Walker, Owen Rambow, Monica Rogati
Corpus-based NP Modifier Generation
Hua Cheng, Massimo Poesio, Renate Henschel et al.
Instance-Based Natural Language Generation
Sebastian Varges, Chris Mellish
Exact Simplification of Support Vector Solutions
Tom Downs, Kevin E. Gates, Annette Masters
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
Koby Crammer, Yoram Singer
Efficient SVM Training Using Low-Rank Kernel Representations
Shai Fine, Katya Scheinberg
A New Approximate Maximal Margin Classification Algorithm
Claudio Gentile
A Generalized Kernel Approach to Dissimilarity-based Classification
Elzbieta Pekalska, Pavel Paclik, Robert P.W. Duin
Uniform Object Generation for Optimizing One-class Classifiers
David M.J. Tax, Robert P.W. Duin
One-Class SVMs for Document Classification
Larry M. Manevitz, Malik Yousef
Support Vector Clustering
Asa Ben-Hur, David Horn, Hava T. Siegelmann et al.
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
Roman Rosipal, Leonard J. Trejo
Introduction to the Special Issue on Kernel Methods
Nello Cristianini, John Shawe-Taylor, Robert C. Williamson
Support Vector Machine Active Learning with Applications to Text Classification
Simon Tong, Daphne Koller
Graph-Based Hierarchical Conceptual Clustering
Istvan Jonyer, Diane J. Cook, Lawrence B. Holder
On the Size of Convex Hulls of Small Sets
Shahar Mendelson