Papers
Domain Adaptation of Neural Machine Translation by Lexicon Induction
Junjie Hu, Mengzhou Xia, Graham Neubig et al.
Domain Adaptation of SRL Systems for Biological Processes
Dheeraj Rajagopal, Nidhi Vyas, Aditya Siddhant et al.
Domain Adaptive Dialog Generation via Meta Learning
Kun Qian, Zhou Yu
Domain Adaptive Inference for Neural Machine Translation
Danielle Saunders, Felix Stahlberg, Adrià de Gispert et al.
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal et al.
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov, Adam Poliak, Stuart Shieber et al.
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
Yichong Xu, Xiaodong Liu, Chunyuan Li et al.
Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment
Nanjiang Jiang, Marie-Catherine de Marneffe
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary et al.
DSTC7 Task 1: Noetic End-to-End Response Selection
Chulaka Gunasekara, Jonathan K. Kummerfeld, Lazaros Polymenakos et al.
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
Joey Tianyi Zhou, Hao Zhang, Di Jin et al.
Duality of Link Prediction and Entailment Graph Induction
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson et al.
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data
Amittai Axelrod, Anish Kumar, Steve Sloto
Dual Supervised Learning for Natural Language Understanding and Generation
Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen
DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering
Huiwei Zhou, Bizun Lei, Zhe Liu et al.
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering
Huiwei Zhou, Xuefei Li, Weihong Yao et al.
Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation
Wei Wang, Isaac Caswell, Ciprian Chelba
Dynamically Fused Graph Network for Multi-hop Reasoning
Lin Qiu, Yunxuan Xiao, Yanru Qu et al.
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
Victor Zhong, Luke Zettlemoyer
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh et al.
EED: Extended Edit Distance Measure for Machine Translation
Peter Stanchev, Weiyue Wang, Hermann Ney
Effective Adversarial Regularization for Neural Machine Translation
Motoki Sato, Jun Suzuki, Shun Kiyono
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
Yunsu Kim, Yingbo Gao, Hermann Ney
Effective Dimensionality Reduction for Word Embeddings
Vikas Raunak, Vivek Gupta, Florian Metze
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks
Maxim Kodryan, Artem Grachev, Dmitry Ignatov et al.