Papers
Towards End-to-End In-Image Neural Machine Translation
Elman Mansimov, Mitchell Stern, Mia Chen et al.
Towards Enhancing Faithfulness for Neural Machine Translation
Rongxiang Weng, Heng Yu, Xiangpeng Wei et al.
Towards Grounding of Formulae
Takuto Asakura, André Greiner-Petter, Akiko Aizawa et al.
Towards Interpretable Reasoning over Paragraph Effects in Situation
Mucheng Ren, Xiubo Geng, Tao Qin et al.
Towards Interpreting BERT for Reading Comprehension Based QA
Sahana Ramnath, Preksha Nema, Deep Sahni et al.
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning
Yi Huang, Junlan Feng, Shuo Ma et al.
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text
Dongfang Li, Baotian Hu, Qingcai Chen et al.
Towards Modeling Revision Requirements in wikiHow Instructions
Irshad Bhat, Talita Anthonio, Michael Roth
Towards More Accurate Uncertainty Estimation In Text Classification
Jianfeng He, Xuchao Zhang, Shuo Lei et al.
Towards Multimodal Simultaneous Neural Machine Translation
Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa et al.
Towards Persona-Based Empathetic Conversational Models
Peixiang Zhong, Chen Zhang, Hao Wang et al.
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems
Jindřich Libovický, Alexander Fraser
Toward Stance-based Personas for Opinionated Dialogues
Thomas Scialom, Serra Sinem Tekiroğlu, Jacopo Staiano et al.
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations
Wanrong Zhu, Xin Wang, Pradyumna Narayana et al.
Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning
Travis Goodwin, Max Savery, Dina Demner-Fushman
Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case
Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali et al.
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation
Qiang Wang, Tong Xiao, Jingbo Zhu
Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors
Sida Gao, Matthew R. Gormley
Training Question Answering Models From Synthetic Data
Raul Puri, Ryan Spring, Mohammad Shoeybi et al.
Train No Evil: Selective Masking for Task-Guided Pre-Training
Yuxian Gu, Zhengyan Zhang, Xiaozhi Wang et al.
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
Michael A. Hedderich, David I. Adelani, Dawei Zhu et al.
Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task
Lovish Madaan, Soumya Sharma, Parag Singla
Transformer Based Multi-Source Domain Adaptation
Dustin Wright, Isabelle Augenstein
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task
Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya et al.
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Jingxuan Yang, Kerui Xu, Jun Xu et al.