2020

  1. [EMNLP]
    Learning from Task Descriptions Orion Weller, Nicholas Lourie, Matt Gardner, and Matthew Peters Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing
  2. [ACL]
    You Don’t Have Time to Read This: an Exploration of Document Level Reading Time Prediction Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell, and Kevin Seppi Proceedings of the 2020 Conference of the Association of Computational Linguistics (ACL) [Paper PDF] [Code]
  3. [LREC]
    The rJokes Dataset: a Large Scale Humor Collection Orion Weller and Kevin Seppi Proceedings of the 2020 Conference on Language Resources and Evaluation (LREC) [Paper PDF] [Code]
  4. Predicting Mental Health and Suicidal Ideation Among Adolescents Using the Risk and Protective Factor Framework: A Large Scale Machine Learning Approach (Abstract Only) Orion Weller, Luke Sagers, Carl Hanson, Quinn Snell, Michael Barnes, and Shannon Tass Society for Prevention Research Conference 2020
  5. Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer Orion Weller, Nancy Fulda, and Kevin Seppi Proceedings of the Second Workshop on Figurative Language Processing @ ACL 2020 [Paper PDF] [Code]

2019

  1. [EMNLP]
    Humor Detection: A Transformer gets the Last Laugh Orion Weller and Kevin Seppi Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing [Paper PDF] [Code]