Papers
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
Yicong Meng, Bertram E. Shi
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
Arne Mauser, Saša Hasan, Hermann Ney
Extracting Bilingual Dictionary from Comparable Corpora with Dependency Heterogeneity
Kun Yu, Junichi Tsujii
Extracting Lexical Reference Rules from Wikipedia
Eyal Shnarch, Libby Barak, Ido Dagan
Extracting Lexical Reference Rules from Wikipedia
Eyal Shnarch, Libby Barak, Ido Dagan
Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora
Xiaoyin Wang, David Lo, Jing Jiang et al.
Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora
Xiaoyin Wang, David Lo, Jing Jiang et al.
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation
Dan Jurafsky, Rajesh Ranganath, Dan McFarland
Extracting World and Linguistic Knowledge from Wikipedia
Simone Paolo Ponzetto, Michael Strube
Extraction of Definitions Using Grammar-Enhanced Machine Learning
Eline Westerhout
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
Andrew McCallum, Karl Schultz, Sameer Singh
Factor Modeling for Advertisement Targeting
Ye Chen, Michael Kapralov, John Canny et al.
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
Jie Chen, Haw-ren Fang, Yousef Saad
Fast Consensus Decoding over Translation Forests
John DeNero, David Chiang, Kevin Knight
Fast Consensus Decoding over Translation Forests
John DeNero, David Chiang, Kevin Knight
Fast decoding for open vocabulary spoken term detection
Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou et al.
Faster MT Decoding Through Pervasive Laziness
Michael Pust, Kevin Knight
Fast Full Parsing by Linear-Chain Conditional Random Fields
Yoshimasa Tsuruoka, Jun’ichi Tsujii, Sophia Ananiadou
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
Xiao-ming Wu, Anthony M. So, Zhenguo Li et al.
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan, Rob Fergus
Fast Learning from Non-i.i.d. Observations
Ingo Steinwart, Andreas Christmann