Papers
Narrative Schema Stability in News Text
Dan Simonson, Anthony Davis
N-ary Relation Extraction using Graph-State LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang et al.
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa et al.
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
Native Language Identification with User Generated Content
Gili Goldin, Ella Rabinovich, Shuly Wintner
Natural and Effective Obfuscation by Head Inpainting
Qianru Sun, Liqian Ma, Seong Joon Oh et al.
Natural Answer Generation with Heterogeneous Memory
Yao Fu, Yansong Feng
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
Hugh Salimbeni, Stefanos Eleftheriadis, James Hensman
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
Shang-Yu Su, Kai-Ling Lo, Yi-Ting Yeh et al.
Natural Language Generation for Polysynthetic Languages: Language Teaching and Learning Software for Kanyen’kéha (Mohawk)
Greg Lessard, Nathan Brinklow, Michael Levison
Natural Language Inference over Interaction Space
Yichen Gong, Heng Luo, Jian Zhang
Natural Language Inference with Definition Embedding Considering Context On the Fly
Kosuke Nishida, Kyosuke Nishida, Hisako Asano et al.
Natural Language Interface for Databases Using a Dual-Encoder Model
Ionel Alexandru Hosu, Radu Cristian Alexandru Iacob, Florin Brad et al.
Natural Language to Structured Query Generation via Meta-Learning
Po-Sen Huang, Chenglong Wang, Rishabh Singh et al.
Naturalness Improvement Algorithm for Reconstructed Glossectomy Patient's Speech Using Spectral Differential Modification in Voice Conversion
Hiroki Murakami, Sunao Hara, Masanobu Abe et al.
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang, Wenhan Wang, Xiaodong Liu et al.
NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang, Yue Zhang
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
Roman Grundkiewicz, Marcin Junczys-Dowmunt
Nearly Optimal Robust Subspace Tracking
Praneeth Narayanamurthy, Namrata Vaswani
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
Yang Cao, Liyan Xie, Yao Xie et al.
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani, Shai Ben-David, Nicholas Harvey et al.
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection
Yulun Tian, Kasra Khosoussi, Matthew Giamou et al.
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric