Papers
3,164 papers found
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan et al.
TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Ming Jiang, Qiuyuan Huang, Lei Zhang et al.
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 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 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 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.
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis
Hiroki Ouchi, Jun Suzuki, Kentaro Inui
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Zheng Li, Xin Li, Ying Wei et al.
Transfer Fine-Tuning: A BERT Case Study
Yuki Arase, Jun’ichi Tsujii
Transfer Learning Between Related Tasks Using Expected Label Proportions
Matan Ben Noach, Yoav Goldberg
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada et al.
“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
Angel Daza, Anette Frank