Papers
Context-Dependent Alignment Models for Statistical Machine Translation
Jamie Brunning, Adrià de Gispert, William Byrne
Improving Unsupervised Dependency Parsing with Richer Contexts and Smoothing
William P. Headden III, Mark Johnson, David McClosky
Efficiently Parsable Extensions to Tree-Local Multicomponent TAG
Rebecca Nesson, Stuart Shieber
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein et al.
Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction
Shay Cohen, Noah A. Smith
Improved Reconstruction of Protolanguage Word Forms
Alexandre Bouchard-Côté, Thomas L. Griffiths, Dan Klein
A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information
Xu Sun, Yaozhong Zhang, Takuya Matsuzaki et al.
A Corpus-Based Approach for the Prediction of Language Impairment in Monolingual English and Spanish-English Bilingual Children
Keyur Gabani, Melissa Sherman, Thamar Solorio et al.
Learning Phoneme Mappings for Transliteration without Parallel Data
Sujith Ravi, Kevin Knight
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
Ping Chen, Wei Ding, Chris Bowes et al.
A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches
Eneko Agirre, Enrique Alfonseca, Keith Hall et al.
Integrating Knowledge for Subjectivity Sense Labeling
Yaw Gyamfi, Janyce Wiebe, Rada Mihalcea et al.
Subjectivity Recognition on Word Senses via Semi-supervised Mincuts
Fangzhong Su, Katja Markert
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Mari Ostendorf, Michael Collins, Shri Narayanan et al.
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
Asela Gunawardana, Guy Shani
Efficient Online and Batch Learning Using Forward Backward Splitting
John Duchi, Yoram Singer
Online Learning with Samples Drawn from Non-identical Distributions
Ting Hu, Ding-Xuan Zhou
Adaptive False Discovery Rate Control under Independence and Dependence
Gilles Blanchard, É
Cautious Collective Classification
Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
Reproducing Kernel Banach Spaces for Machine Learning
Haizhang Zhang, Yuesheng Xu, Jun Zhang
Learning Halfspaces with Malicious Noise
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
Structure Spaces
Brijnesh J. Jain, Klaus Obermayer
Bounded Kernel-Based Online Learning
Francesco Orabona, Joseph Keshet, Barbara Caputo
DL-Learner: Learning Concepts in Description Logics
Jens Lehmann
Hash Kernels for Structured Data
Qinfeng Shi, James Petterson, Gideon Dror et al.