Papers
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
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