Papers
Unsupervised Argument Identification for Semantic Role Labeling
Omri Abend, Roi Reichart, Ari Rappoport
A Comparative Study on Generalization of Semantic Roles in FrameNet
Yuichiroh Matsubayashi, Naoaki Okazaki, Jun’ichi Tsujii
Investigations on Word Senses and Word Usages
Katrin Erk, Diana McCarthy, Nicholas Gaylord
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb
Qiang Yang, Yuqiang Chen, Gui-Rong Xue et al.
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP
Keh-Yih Su, Jian Su, Janyce Wiebe et al.
Complexity of Decentralized Control: Special Cases
Martin Allen, Shlomo Zilberstein
Efficient Bregman Range Search
Lawrence Cayton
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
Ashish Kapoor, Eric Horvitz
Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic et al.
Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang et al.
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
Jacob Whitehill, Ting-fan Wu, Jacob Bergsma et al.
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
Lan Du, Lu Ren, Lawrence Carin et al.
Nonparametric Bayesian Texture Learning and Synthesis
Long Zhu, Yuanahao Chen, Bill Freeman et al.
Measuring model complexity with the prior predictive
Wolf Vanpaemel
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R. Amini, Nicolas Usunier, Cyril Goutte
Beyond Convexity: Online Submodular Minimization
Elad Hazan, Satyen Kale
Human Rademacher Complexity
Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers
Localizing Bugs in Program Executions with Graphical Models
Laura Dietz, Valentin Dallmeier, Andreas Zeller et al.
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang I. Kim, Florian Steinke, Matthias Hein
Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.
Indian Buffet Processes with Power-law Behavior
Yee W. Teh, Dilan Gorur
Structural inference affects depth perception in the context of potential occlusion
Ian Stevenson, Konrad Koerding