mohit iyyer

miyyer@umd.edu // CV // Scholar // github



I'm a fifth year Ph.D. student in the Department of Computer Science at the University of Maryland, College Park. I'm also a member of the Computational Linguistics and Information Processing Lab and UMIACS. Along with my advisors, Jordan Boyd-Graber and Hal Daumé III, I work on problems that lie at the intersection of machine learning and natural language processing. My main research interest is in designing deep neural networks for both traditional NLP tasks as well as new problems that involve understanding creative language.

I received a BS from the Department of Computer Science at Washington University in St. Louis under the guidance of Yixin Chen. I was a research intern at MetaMind in Spring 2015 and Microsoft Research in Summer 2016.


  • I'll be joining UMass Amherst as an assistant professor in Fall 2018!
    Before starting at UMass, I will be a Young Investigator at AI2 working with Luke Zettlemoyer.
  • Apr. 2017: COMICS data and code released here!
  • Jan. 2017: talk at CU Boulder Stats, Optimization, and Machine Learning seminar
  • Nov. 2016: talk at UMass Machine Learning & Friends Lunch
  • Nov. 2016: new paper on understanding comic book narratives and characters.
  • Nov. 2016: new paper and associated dataset for sequential semantic parsing.
  • Jun. 2016: our paper on characterizing fictional relationships won best long paper at NAACL 2016!
  • Apr. 2016: we are organizing a workshop at NAACL 2016 on human-computer question answering with great invited speakers and accepted papers!
  • May 2015: our quiz bowl robot recently faced off against a team of four Jeopardy champions. Watch the introduction to learn how it works and then check out the actual match! If you're interested, code for the entire system is also available.


publications