Adam Poliak

Adam Poliak

Hi, I'm Adam Poliak. I am a PhD student at Johns Hopkins University studying Computer Science and am affiliated with the Center for Language & Speech Processing.

I focus on Machine Learning and Natural Language Processing. Currently, I am working with my advisor Professor Benjamin Van Durme on the JHU Universal Decompositional Semantics Initiative (Decomp).

Feel free to reach out to me at



  • Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
    Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme. EMNLP. [paper][data][poster][slides][bib].
  • Hypothesis Only Baselines in Natural Language Inference
    Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme. *SEM [paper][bib][code][slides]. Best Paper Award
  • On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
    Adam Poliak, Yonatan Belinkov, Jim Glass, Benjamin Van Durme. NAACL.[paper][bib][code]
  • Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs
    Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, and Benjamin Van Durme. Information Retrieval Journal. [paper][bib]


  • CADET: Computer Assisted Discovery Extraction and Translation.
    Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran and Ted Zhang. IJCNLP Demo 2017. [paper][code][bib]
  • Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. Francis Ferraro, Adam Poliak, Ryan Cotterell and Benjamin Van Durme. *SEM 2017. [paper][poster][bib]
  • Efficient, Compositional, Order-sensitive n-gram Embeddings. Adam Poliak*, Pushpendre Rastogi*, M. Patrick Martin and Benjamin Van Durme. EACL 2017. [paper][code][data][poster][bib]
  • Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. Ryan Cotterell, Adam Poliak, Benjamin Van Durme and Jason Eisner. EACL 2017. [paper][code][poster][bib]
  • Semantic Proto-Role Labeling. Adam Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley. Thirty-First Conference on Artificial Intelligence (AAAI 2017). [paper][bib]
  • Generating Automatic Pseudo-entailments from AMR Parses. Adam Poliak and Benjamin Van Durme. 6th Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL) 2017. Extended Abstract. [paper][bib]