Papers
Few-Shot Table-to-Text Generation with Prototype Memory
Yixuan Su, Zaiqiao Meng, Simon Baker et al.
Few-Shot Text Generation with Natural Language Instructions
Timo Schick, Hinrich Schütze
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal et al.
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech
Tomer Wullach, Amir Adler, Einat Minkov
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Fahim Dalvi et al.
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach
Koren Lazar, Benny Saret, Asaf Yehudai et al.
Financial Opinion Mining
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
Finding a Balanced Degree of Automation for Summary Evaluation
Shiyue Zhang, Mohit Bansal
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
Inbar Oren, Jonathan Herzig, Jonathan Berant
Findings of the 2021 Conference on Machine Translation (WMT21)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska et al.
Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set
Lana Yeganova, Dina Wiemann, Mariana Neves et al.
Findings of the WMT 2021 Shared Task on Efficient Translation
Kenneth Heafield, Qianqian Zhu, Roman Grundkiewicz
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation
Guillaume Wenzek, Vishrav Chaudhary, Angela Fan et al.
Findings of the WMT 2021 Shared Task on Quality Estimation
Lucia Specia, Frédéric Blain, Marina Fomicheva et al.
Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT
Jindřich Libovický, Alexander Fraser
Findings of the WMT Shared Task on Machine Translation Using Terminologies
Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos et al.
Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets
Benjamin Olsen, Barbara Plank
Fine-grained Entity Typing via Label Reasoning
Qing Liu, Hongyu Lin, Xinyan Xiao et al.
Fine-grained Entity Typing without Knowledge Base
Jing Qian, Yibin Liu, Lemao Liu et al.
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models
Sen Zhang, Jianwei Niu, Chuyuan Wei
Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding
Yuechen Wang, Wengang Zhou, Houqiang Li
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks
Minh Tran Phu, Minh Van Nguyen, Thien Huu Nguyen
Fine-grained Typing of Emerging Entities in Microblogs
Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
Jason Phang, Haokun Liu, Samuel R. Bowman
Finetuning Pretrained Transformers into RNNs
Jungo Kasai, Hao Peng, Yizhe Zhang et al.