activity
20132023
most citedA Survey on Natural Language Processing for Fake News Detection

276 citations · 2k across the 138 of their papers we have counts for

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Showing 2018Show all

28 papers · 1 filter

cs.CL2018★ 4 cited

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning

Xin Wang, Jiawei Wu, Da Zhang +2

Although promising results have been achieved in video captioning, existing models are limited to the fixed inventory of activities in the training corpus, and do not generalize to…

cs.CL2018★ 15 cited

Quantifying Uncertainties in Natural Language Processing Tasks

Yijun Xiao, William Yang Wang

Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep lear…

cs.AI2018★ 1 cited

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

Sharon Levy, Wenhan Xiong, Elizabeth Belding +1

Recent studies show that 85% of women have changed their traveled route to avoid harassment and assault. Despite this, current mapping tools do not empower users with information t…

cs.CV2018★ 37 cited

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Xin Wang, Qiuyuan Huang, Asli Celikyilmaz +5

Vision-language navigation (VLN) is the task of navigating an embodied agent to carry out natural language instructions inside real 3D environments. In this paper, we study how to…

cs.CL2018★ 276 cited

A Survey on Natural Language Processing for Fake News Detection

Ray Oshikawa, Jing Qian, William Yang Wang

Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase i…

cs.CL2018★ 8 cited

Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications

Deren Lei, Zichen Sun, Yijun Xiao +1

Deep neural networks with remarkably strong generalization performances are usually over-parameterized. Despite explicit regularization strategies are used for practitioners to avo…