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Found 3 papers, 1 papers with code
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
We introduce a data augmentation technique based on byte pair encoding and a BERT-like self-attention model to boost performance on spoken language understanding tasks.
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics.
Ranked #1 on
Data-to-Text Generation
on WebNLG ru
Abstractive Text Summarization
Cross-Lingual Abstractive Summarization
+5
Do Massively Pretrained Language Models Make Better Storytellers?
Large neural language models trained on massive amounts of text have emerged as a formidable strategy for Natural Language Understanding tasks.
Natural Language Understanding
Pretrained Language Models
+1
