Co-occurring keywords · papers mentioning both
Papers
Mitigating Language-Dependent Ethnic Bias in BERT
EMNLP 2021
Mitigating Political Bias in Language Models through Reinforced Calibration
AAAI 2021
Modeling Disclosive Transparency in NLP Application Descriptions
EMNLP 2021
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
ICLR 2021
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
EMNLP 2021
Multidomain Pretrained Language Models for Green NLP
EACL 2021
Multilingual Counter Narrative Type Classification
EMNLP 2021
Multilingual Translation via Grafting Pre-trained Language Models
EMNLP 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
EMNLP 2021
Multitask Training with Text Data for End-to-End Speech Recognition
Interspeech 2021
Multi-timescale Representation Learning in LSTM Language Models
ICLR 2021
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
ACL 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning
EMNLP 2021
Naive Bayes-based Experiments in Romanian Dialect Identification
EACL 2021
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
EMNLP 2021
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
EMNLP 2021
Neural Data-to-Text Generation with LM-based Text Augmentation
EACL 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
NAACL 2021
Numeracy enhances the Literacy of Language Models
EMNLP 2021
ODIST: Open World Classification via Distributionally Shifted Instances
EMNLP 2021
ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects
EACL 2021
On Language Models for Creoles
CoNLL 2021
On Randomized Classification Layers and Their Implications in Natural Language Generation
NAACL 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration
EMNLP 2021
On the Learning Dynamics of Semi-Supervised Training for ASR
Interspeech 2021