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Language, Information, and Learning at Yale (LILY)

This is the website for the LILY (Language, Information, and Learning at Yale) Lab at the Department of Computer Science, Yale University.


  • Jun 2021 A new release of AAN, our NLP search endine, is available. More than 20,000 resources are currently indexed there. We have a blog post with more details.
  • Jun 2021 A new release of LectureBank is now available.
  • Jun 2021 A new release of TutorialBank is now available.
  • May 2021 Three papers accepted to ACL 2021! ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining, Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders, and BookSum: A Collection of Datasets for Long-form Narrative Summarization!
  • Apr 2021 Our SummEval repository is online and pip-installable now. Check it out!
  • Apr 2021 One paper published at npj digital medicine: COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization!
  • Apr 2021 Our new dataset FeTaQA: Free-form Table Question Answering has been released online now! Check it out!
  • Apr 2021 We updated aan.how, which now has over 16k manually-curated resources on NLP and related topics!
  • Apr 2021 Khera Awarded Career Development Grant from National Heart, Lung, and Blood Institute!
  • Mar 2021 Three papers accepted to NAACL! Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation, DART: Open-Domain Structured Data Record to Text Generation, and QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization!
  • Mar 2021 Two papers accepted to ICLR! GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing and SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing!
  • Mar 2021 Tao Yu has successfully defended his PhD dissertation on semantic parsing for natural language interfaces. Congratulations to Dr. Yu!
  • Feb 2021 Alex Fabbri has successfully defended his PhD dissertation on natural language processing for text summarization. Congratulations to Dr. Fabbri!

The LILY Lab started in Spring 2017 with Professor Dragomir Radev joining Yale University. Our interests include:

  • Natural Language Processing
    • Information Retrieval
    • Summarization
    • Multilingual Parsing
    • Dialogue Systems
    • Question Answering
    • Humor Detection
  • Machine Learning
    • Neural Networks
    • Semi-supervised Learning