Assistant Professor of Computer Science
An assistant professor at Duke University’s Department of Computer Science, and he is interested in natural language processing and machine learning. Before Duke, he was a research assistant professor at TTIC, and before that a PhD student in Computer Science at Harvard, where he was advised by Sasha Rush and Stuart Shieber.
Contact Information
- Office Location: D105 LSRC
- Office Phone: (919) 660-6558
- Email Address: swiseman at cs.duke.edu
Education
- Ph.D., Harvard University, 2018
- A.B., Princeton University, 2010
Research Interests
Sam Wiseman's research focuses on natural language processing. He is broadly interested in deep learning approaches to structured prediction for natural language processing problems, with a particular recent interest in structured approaches to text generation. Here are some selected publications:
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, and Kevin Gimpel. ACL, 2020.
- Amortized Bethe Free Energy Minimization for Learning MRFs. Sam Wiseman and Yoon Kim. NeurIPS, 2019.
- Label-Agnostic Sequence Labeling by Copying Nearest Neighbors. Sam Wiseman and Karl Stratos. ACL, 2019.
- A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. Mingda Chen, Qingming Tang, Sam Wiseman, and Kevin Gimpel. NAACL, 2019.
- Learning Neural Templates for Text Generation. Sam Wiseman, Stuart M. Shieber, and Alexander M. Rush. EMNLP, 2018.