Papers
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information
Mostafa Bouziane, Hugo Perrin, Amine Sadeq et al.
Facebook AI’s WMT21 News Translation Task Submission
Chau Tran, Shruti Bhosale, James Cross et al.
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Yuexiang Xie, Fei Sun, Yang Deng et al.
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin et al.
fairseq Sˆ2: A Scalable and Integrable Speech Synthesis Toolkit
Changhan Wang, Wei-Ning Hsu, Yossi Adi et al.
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
Lukas Lange, Heike Adel, Jannik Strötgen et al.
FANATIC: FAst Noise-Aware TopIc Clustering
Ari Silburt, Anja Subasic, Evan Thompson et al.
FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German
Justus Mattern, Yu Qiao, Elma Kerz et al.
FantasyCoref: Coreference Resolution on Fantasy Literature Through Omniscient Writer’s Point of View
Sooyoun Han, Sumin Seo, Minji Kang et al.
FAST: A carefully sampled and cognitively motivated dataset for distributional semantic evaluation
Stefan Evert, Gabriella Lapesa
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition
Yichong Leng, Xu Tan, Rui Wang et al.
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
Fangyu Liu, Ivan Vulić, Anna Korhonen et al.
FAST: Fast Annotation tool for SmarT devices
Shunyo Kawamoto, Yu Sawai, Kohei Wakimoto et al.
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo, Nazneen Rajani, Peter Hase et al.
Fast WordPiece Tokenization
Xinying Song, Alex Salcianu, Yang Song et al.
fBERT: A Neural Transformer for Identifying Offensive Content
Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe et al.
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
Xu Wang, Hainan Zhang, Shuai Zhao et al.
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding
Tobias Falke, Patrick Lehnen
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector
Rajdeep Sarkar, Atul Kr. Ojha, Jay Megaro et al.
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
Gaël Guibon, Matthieu Labeau, Hélène Flamein et al.
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label
Jin Qu, Kazuma Hashimoto, Wenhao Liu et al.
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
Jianguo Zhang, Trung Bui, Seunghyun Yoon et al.
Few-Shot Named Entity Recognition: An Empirical Baseline Study
Jiaxin Huang, Chunyuan Li, Krishan Subudhi et al.
Few-Shot Novel Concept Learning for Semantic Parsing
Soham Dan, Osbert Bastani, Dan Roth
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
Rakesh Chada, Pradeep Natarajan