Papers
Learning word embeddings efficiently with noise-contrastive estimation
Andriy Mnih, Koray Kavukcuoglu
Least Informative Dimensions
Fabian Sinz, Anna Stockl, Jan Grewe et al.
Least Soft-Threshold Squares Tracking
Dong Wang, Huchuan Lu, Ming-Hsuan Yang
“Let Everything Turn Well in Your Wife”: Generation of Adult Humor Using Lexical Constraints
Alessandro Valitutti, Hannu Toivonen, Antoine Doucet et al.
Leveraging Domain-Independent Information in Semantic Parsing
Dan Goldwasser, Dan Roth
Leveraging Lexical Cohesion and Disruption for Topic Segmentation
Anca-Roxana Şimon, Guillaume Gravier, Pascale Sébillot
Leveraging Multi-Domain Prior Knowledge in Topic Models
Zhiyuan Chen, Arjun Mukherjee, Bing Liu et al.
Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification
Alessandro Bergamo, Sudipta N. Sinha, Lorenzo Torresani
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition
Man Lan, Yu Xu, Zhengyu Niu
Lexical and Hierarchical Topic Regression
Viet-An Nguyen, Jordan L Ying, Philip Resnik
Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation
Deyi Xiong, Yang Ding, Min Zhang et al.
Lexicalized Reordering Model in Chart-based Machine Translation
ThuyLinh Nguyen
2013
EMNLP
LFG-based Features for Noun Number and Article Grammatical Errors
Gábor Berend, Veronika Vincze, Sina Zarrieß et al.
Lifelong Learning for Acquiring the Wisdom of the Crowd
Ece Kamar, Ashish Kapoor, Eric Horvitz
Lifting 3D Manhattan Lines from a Single Image
Srikumar Ramalingam, Matthew Brand
Light Field Distortion Feature for Transparent Object Recognition
Kazuki Maeno, Hajime Nagahara, Atsushi Shimada et al.
Lightly Supervised Learning of Procedural Dialog Systems
Svitlana Volkova, Pallavi Choudhury, Chris Quirk et al.
Like Father, Like Son: Facial Expression Dynamics for Kinship Verification
Hamdi Dibeklioglu, Albert Ali Salah, Theo Gevers
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize, Brigitte Grau
Linear Approximation to ADMM for MAP inference
Sholeh Forouzan, Alexander Ihler
Linear Bayesian Reinforcement Learning
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Linear Convergence with Condition Number Independent Access of Full Gradients
Lijun Zhang, Mehrdad Mahdavi, Rong Jin
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Risheng Liu, Zhouchen Lin, Zhixun Su