2.1k citations · 4.2k across the 16 of their papers we have counts for
5 papers · 1 filter
Detecting Interrogative Utterances with Recurrent Neural Networks
Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla
In this paper, we explore different neural network architectures that can predict if a speaker of a given utterance is asking a question or making a statement. We com- pare the out…
A Survey of Current Datasets for Vision and Language Research
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao +5
Integrating vision and language has long been a dream in work on artificial intelligence (AI). In the past two years, we have witnessed an explosion of work that brings together vi…
Statistical Machine Translation Features with Multitask Tensor Networks
Hendra Setiawan, Zhongqiang Huang, Jacob Devlin +4
We present a three-pronged approach to improving Statistical Machine Translation (SMT), building on recent success in the application of neural networks to SMT. First, we propose n…
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin, Saurabh Gupta, Ross Girshick +2
We explore a variety of nearest neighbor baseline approaches for image captioning. These approaches find a set of nearest neighbor images in the training set from which a caption m…
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set of candidate words is generated by a convolutional…