Seyeon Lee

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation

2020 · arXiv (Cornell University)

Successfully training a deep neural network demands a huge corpus of labeled data. However, each label only provides limited information to learn from and collecting the requisite number of labels involves massive human effort. In …

Pre-training Text-to-Text Transformers for Concept-centric Common Sense

2021 · arXiv (Cornell University)

Pretrained language models (PTLM) have achieved impressive results in a range of natural language understanding (NLU) and generation (NLG) tasks that require a syntactic and semantic understanding of the text. However, current pre-training objectives such …