Papers
Knowledge-Rich Morphological Priors for Bayesian Language Models
Victor Chahuneau, Noah A. Smith, Chris Dyer
KooSHO: Japanese Text Input Environment based on Aerial Hand Writing
Masato Hagiwara, Soh Masuko
k-Prototype Learning for 3D Rigid Structures
Hu Ding, Ronald Berezney, Jinhui Xu
KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets, Marie-Francine Moens
KUNLP Grammatical Error Correction System For CoNLL-2013 Shared Task
Bong-Jun Yi, Ho-Chang Lee, Hae-Chang Rim
KySS 1.0: a Framework for Automatic Evaluation of Chinese Input Method Engines
Zhongye Jia, Hai Zhao
Labeled Alignment for Recognizing Textual Entailment
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
Label-Embedding for Attribute-Based Classification
Zeynep Akata, Florent Perronnin, Zaid Harchaoui et al.
Labeling the Languages of Words in Mixed-Language Documents using Weakly Supervised Methods
Ben King, Steven Abney
Label Partitioning For Sublinear Ranking
Jason Weston, Ameesh Makadia, Hector Yee
Label Propagation from ImageNet to 3D Point Clouds
Yan Wang, Rongrong Ji, Shih-Fu Chang
LABR: A Large Scale Arabic Book Reviews Dataset
Mohamed Aly, Amir Atiya
Language Acquisition and Probabilistic Models: keeping it simple
Aline Villavicencio, Marco Idiart, Robert Berwick et al.
Language-Based Games (Extended Abstract)
Adam Bjorndahl, Joseph Y. Halpern, Rafael Pass
Language Independent Connectivity Strength Features for Phrase Pivot Statistical Machine Translation
Ahmed El Kholy, Nizar Habash, Gregor Leusch et al.
Language-Independent Discriminative Parsing of Temporal Expressions
Gabor Angeli, Jakob Uszkoreit
Language-Motivated Approaches to Action Recognition
Manavender R. Malgireddy, Ifeoma Nwogu, Venu Govindaraju
Large Displacement Optical Flow from Nearest Neighbor Fields
Zhuoyuan Chen, Hailin Jin, Zhe Lin et al.
Large-Scale Bandit Problems and KWIK Learning
Jacob Abernethy, Kareem Amin, Michael Kearns et al.
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search
Jeffrey Flanigan, Chris Dyer, Jaime Carbonell
Large Scale Distributed Sparse Precision Estimation
Huahua Wang, Arindam Banerjee, Cho-Jui Hsieh et al.
Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning
Zheyun Feng, Rong Jin, Anil Jain
Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley, Brendan McMahan et al.
Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences
Frank Steinbrucker, Christian Kerl, Daniel Cremers