Papers
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework
Minghao Zhu, Junli Wang, Chungang Yan
Nonsuicidal Self-Injury and Substance Use Disorders: A Shared Language of Addiction
Salvatore Giorgi, Mckenzie Himelein-wachowiak, Daniel Habib et al.
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression
Mohammadmahdi Nouriborji, Omid Rohanian, David Clifton
NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning
Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy et al.
Occupational Biases in Norwegian and Multilingual Language Models
Samia Touileb, Lilja Øvrelid, Erik Velldal
OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection
Lis Pereira, Ichiro Kobayashi
OK Boomer: Probing the socio-demographic Divide in Echo Chambers
Henri-Jacques Geiss, Flora Sakketou, Lucie Flek
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
Zhengbao Jiang, Yi Mao, Pengcheng He et al.
On Assessing and Developing Spoken ’Grammatical Error Correction’ Systems
Yiting Lu, Stefano Bannò, Mark Gales
On Curriculum Learning for Commonsense Reasoning
Adyasha Maharana, Mohit Bansal
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation
Chenze Shao, Xuanfu Wu, Yang Feng
One Size Does Not Fit All: The Case for Personalised Word Complexity Models
Sian Gooding, Manuel Tragut
On Gender Biases in Offensive Language Classification Models
Sanjana Marcé, Adam Poliak
On Measuring Social Biases in Prompt-Based Multi-Task Learning
Afra Feyza Akyürek, Sejin Paik, Muhammed Kocyigit et al.
On Synthetic Data for Back Translation
Jiahao Xu, Yubin Ruan, Wei Bi et al.
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation
Kelly Marchisio, Markus Freitag, David Grangier
On the Dynamics of Gender Learning in Speech Translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli et al.
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data
Kabir Ahuja, Monojit Choudhury, Sandipan Dandapat
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
Tingting Ma, Qianhui Wu, Zhiwei Yu et al.
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn et al.
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
Roy Schwartz, Gabriel Stanovsky
On the Machine Learning of Ethical Judgments from Natural Language
Zeerak Talat, Hagen Blix, Josef Valvoda et al.