Papers
To Annotate or Not? Predicting Performance Drop under Domain Shift
Hady Elsahar, Matthias Gallé
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
Byungkook Oh, Seungmin Seo, Cheolheon Shin et al.
Topics to Avoid: Demoting Latent Confounds in Text Classification
Sachin Kumar, Shuly Wintner, Noah A. Smith et al.
Towards Actual (Not Operational) Textual Style Transfer Auto-Evaluation
Richard Yuanzhe Pang
Towards Annotating and Creating Summary Highlights at Sub-sentence Level
Kristjan Arumae, Parminder Bhatia, Fei Liu
Towards Answer-unaware Conversational Question Generation
Mao Nakanishi, Tetsunori Kobayashi, Yoshihiko Hayashi
Towards Automated Semantic Role Labelling of Hindi-English Code-Mixed Tweets
Riya Pal, Dipti Sharma
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons
Jie Hao, Xing Wang, Shuming Shi et al.
Towards Controllable and Personalized Review Generation
Pan Li, Alexander Tuzhilin
Towards Debiasing Fact Verification Models
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo et al.
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
Mahmoud Azab, Stephane Dadian, Vivi Nastase et al.
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Kaixin Ma, Jonathan Francis, Quanyang Lu et al.
Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang et al.
Towards Linear Time Neural Machine Translation with Capsule Networks
Mingxuan Wang, Jun Xie, Zhixing Tan et al.
Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
Bonan Min, Yee Seng Chan, Haoling Qiu et al.
Towards Making a Dependency Parser See
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
Katharina Kann, Kyunghyun Cho, Samuel R. Bowman
Towards Understanding Neural Machine Translation with Word Importance
Shilin He, Zhaopeng Tu, Xing Wang et al.
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation
Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su et al.
Towards Zero-resource Cross-lingual Entity Linking
Shuyan Zhou, Shruti Rijhwani, Graham Neubig
Towards Zero-shot Language Modeling
Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell et al.
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content
Sepideh Mesbah, Jie Yang, Robert-Jan Sips et al.
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein et al.
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Johannes Bjerva, Katharina Kann, Isabelle Augenstein