Papers
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis
Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li et al.
Abstractive Timeline Summarization
Julius Steen, Katja Markert
Abstract Reasoning with Distracting Features
Kecheng Zheng, Zheng-Jun Zha, Wei Wei
Abstract Text Summarization: A Low Resource Challenge
Shantipriya Parida, Petr Motlicek
Abstract Text Summarization: A Low Resource Challenge
Shantipriya Parida, Petr Motlicek
Abusive Language Detection with Graph Convolutional Networks
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis et al.
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia
Michel Schwab, Robert Jäschke, Frank Fischer et al.
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia
Michel Schwab, Robert Jäschke, Frank Fischer et al.
Academic Reader: An Interactive Question Answering System on Academic Literatures
Yining Hong, Jialu Wang, Yuting Jia et al.
A Calibration Metric for Risk Scores with Survival Data
Steve Yadlowsky, Sanjay Basu, Lu Tian
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays
Laurie Bose, Jianing Chen, Stephen J. Carey et al.
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen et al.
A Cascade Model for Proposition Extraction in Argumentation
Yohan Jo, Jacky Visser, Chris Reed et al.
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions
Jack Hessel, Bo Pang, Zhenhai Zhu et al.
A Case Study on Meaning Representation for Vietnamese
Ha Linh, Huyen Nguyen
A Case Study on Neural Headline Generation for Editing Support
Kazuma Murao, Ken Kobayashi, Hayato Kobayashi et al.
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
Samvit Jain, Xin Wang, Joseph E. Gonzalez
Accelerate CNN via Recursive Bayesian Pruning
Yuefu Zhou, Ya Zhang, Yanfeng Wang et al.
Accelerated Alternating Projections for Robust Principal Component Analysis
HanQin Cai, Jian-Feng Cai, Ke Wei
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches
Filip Hanzely, Peter Richtarik
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
Hadrien Hendrikx, Francis Bach, Laurent Massoulie
Accelerated Flow for Probability Distributions
Amirhossein Taghvaei, Prashant Mehta
Accelerated Gravitational Point Set Alignment With Altered Physical Laws
Vladislav Golyanik, Christian Theobalt, Didier Stricker
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor
Yuanyuan Liu, Fanhua Shang, Licheng Jiao