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Label: Natural Language Understanding

LaMDA: Towards Safe, Grounded, and High-Quality Dialog Models for Everything

Evaluating Syntactic Abilities of Language Models

Predicting Text Selections with Federated Learning

GoEmotions: A Dataset for Fine-Grained Emotion Classification

Crisscrossed Captions: Semantic Similarity for Images and Text

ToTTo: A Controlled Table-to-Text Generation Dataset

Measuring Gendered Correlations in Pre-trained NLP Models

Language-Agnostic BERT Sentence Embedding

Grounding Natural Language Instructions to Mobile UI Actions

Presenting a Challenge and Workshop in Efficient Open-Domain Question Answering

PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization