Papers
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Colin Cherry, George Foster, Ankur Bapna et al.
Speeding Up Neural Machine Translation Decoding by Cube Pruning
Wen Zhang, Liang Huang, Yang Feng et al.
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang, Deyi Xiong, Jinsong Su et al.
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Gongbo Tang, Mathias Müller, Annette Rios et al.
Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou, Zhaopeng Tu, Xing Wang et al.
A Nil-Aware Answer Extraction Framework for Question Answering
Souvik Kundu, Hwee Tou Ng
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer et al.
Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer, Yicheng Wang, Mohit Bansal
What Makes Reading Comprehension Questions Easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine et al.
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty, Lluís Màrquez, Preslav Nakov
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yaushian Wang, Hung-Yi Lee
Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries
Tsutomu Hirao, Hidetaka Kamigaito, Masaaki Nagata
Frustratingly Easy Model Ensemble for Abstractive Summarization
Hayato Kobayashi
MSMO: Multimodal Summarization with Multimodal Output
Junnan Zhu, Haoran Li, Tianshang Liu et al.
Semi-Supervised Learning for Neural Keyphrase Generation
Hai Ye, Lu Wang
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff, Kaiqiang Song, Fei Liu
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Yang Gao, Christian M. Meyer, Iryna Gurevych
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network
Yizhu Liu, Zhiyi Luo, Kenny Zhu
Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander Rush
Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen, Shen Gao, Chongyang Tao et al.
Improving Neural Abstractive Document Summarization with Structural Regularization
Wei Li, Xinyan Xiao, Yajuan Lyu et al.
Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang, Mohit Bansal
Keyphrase Generation with Correlation Constraints
Jun Chen, Xiaoming Zhang, Yu Wu et al.
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN
Jingqiang Chen, Hai Zhuge
Object Hallucination in Image Captioning
Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns et al.