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Transformers

10,338 papers

Papers per year

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Papers

Doubly-Attentive Decoder for Multi-modal Neural Machine Translation ACL 2017
Improved Word Representation Learning with Sememes ACL 2017
Learning to Parse and Translate Improves Neural Machine Translation ACL 2017
Attention Strategies for Multi-Source Sequence-to-Sequence Learning ACL 2017
Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task ACL 2017
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring CONLL 2017
Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks CONLL 2017
Dual Attention Networks for Multimodal Reasoning and Matching CVPR 2017
Generating the Future With Adversarial Transformers CVPR 2017
Inverse Compositional Spatial Transformer Networks CVPR 2017
Multi-Attention Network for One Shot Learning CVPR 2017
End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering CVPR 2017
Exploring Different Dimensions of Attention for Uncertainty Detection EACL 2017
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching EACL 2017
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis EACL 2017
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017
Are Emojis Predictable? EACL 2017
Context-Aware Prediction of Derivational Word-forms EACL 2017
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization EACL 2017
Neural Automatic Post-Editing Using Prior Alignment and Reranking EACL 2017
Nematus: a Toolkit for Neural Machine Translation EACL 2017
Neural Machine Translation with Source-Side Latent Graph Parsing EMNLP 2017
Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers EMNLP 2017
Efficient Attention using a Fixed-Size Memory Representation EMNLP 2017
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network EMNLP 2017