1. Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, and Jordan Boyd-Graber In ACL. 2021
  2. Promoting Graph Awareness in Linearized Graph-to-Text Generation Alexander Miserlis Hoyle, Ana Marasović, and Noah A. Smith In Findings of ACL. 2021 [Link]


  1. Improving Neural Topic Models using Knowledge Distillation Alexander Miserlis Hoyle, Pranav Goel, and Philip Resnik In EMNLP. 2020 [Abs] [Link] [Video]


  1. Combining Sentiment Lexica with a Multi-View Variational Autoencoder Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell, and Isabelle Augenstein In NAACL. 2019 [Abs] [Link] [Slides]
  2. Unsupervised Discovery of Gendered Language through Latent-Variable Modeling Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, and Ryan Cotterell In ACL. 2019 [Abs] [Link] [Slides]


  1. Citation Detected: Automated Claim Detection through Natural Language Processing Alexander Hoyle University College London, Master’s Thesis. 2018