Papers
NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools
Giuseppe Rizzo, Raphaël Troncy
Neurally Plausible Reinforcement Learning of Working Memory Tasks
Jaldert Rombouts, Pieter Roelfsema, Sander M. Bohte
Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter
Dmitri B. Chklovskii, Daniel Soudry
New Bounds for Learning Intervals with Implications for Semi-Supervised Learning
David P. Helmbold, Philip M. Long
New Insights from Coarse Word Sense Disambiguation in the Crowd
Adam Kapelner, Krishna Kaliannan, H. Andrew Schwartz et al.
New Readability Measures for Bangla and Hindi Texts
Manjira Sinha, Sakshi Sharma, Tirthankar Dasgupta et al.
Newton-Like Methods for Sparse Inverse Covariance Estimation
Figen Oztoprak, Jorge Nocedal, Steven Rennie et al.
N-gram-based Tense Models for Statistical Machine Translation
Zhengxian Gong, Min Zhang, Chew Lim Tan et al.
N-gram-based Tense Models for Statistical Machine Translation
Zhengxian Gong, Min Zhang, Chew Lim Tan et al.
N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability
Shoaib Jameel, Xiaojun Qian, Wai Lam
NIMFA : A Python Library for Nonnegative Matrix Factorization
Marinka Žitnik, Blaž Zupan
NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation
Tong Xiao, Jingbo Zhu, Hao Zhang et al.
NJU-Parser: Achievements on Semantic Dependency Parsing
Guangchao Tang, Bin Li, Shuaishuai Xu et al.
No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
Michael U. Gutmann, Aapo Hyvärinen
NOMIT: Automatic Titling by Nominalizing
Cédric Lopez, Violaine Prince, Mathieu Roche
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates
Zhihua Zhang, Bojun Tu
Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang, Miguel Carreira-Perpinan
Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha et al.
No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
Thomas Lin, Mausam, Oren Etzioni
No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
Thomas Lin, Mausam, Oren Etzioni
Non-parametric Approximate Dynamic Programming via the Kernel Method
Nikhil Bhat, Vivek Farias, Ciamac C. Moallemi
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions
Jaedeug Choi, Kee-eung Kim
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction
Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard et al.