This is the website for the LILY (Language, Information, and Learning at Yale) Lab at the Department of Computer Science, Yale University.
- Nov. 2020 Check out our recent preprints: Semantic Evaluation for Text-to-SQL with Distilled Test Suites, Understanding and Improving Word Embeddings through a Neuroscientific Lens, and Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
- Jul. 2020 Check out our recent ArXiv preprints: DART: Open-Domain Structured Data Record to Text Generation and SummEval: Re-evaluating Summarization Evaluation!
- Jul. 2020 Check out the ESPRIT paper, presented at ACL 2020!
The LILY Lab started in Spring 2017 with Professor Dragomir Radev joining Yale University. Our interests include:
- Natural Language Processing
- Information Retrieval
- Multilingual Parsing
- Dialogue Systems
- Question Answering
- Humor Detection
- Machine Learning
- Neural Networks
- Semi-supervised Learning