Dong‐Ho 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 …

Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional document, e.g., an introductory college textbook or a manual. …

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

2021

Question: I have five fingers but I am not alive. What am I? Answer: a glove