mohit iyyer // CV // Scholar // github // twitter

I am an assistant professor in computer science at UMass Amherst. Previously, I was a Young Investigator at AI2; before that, I completed my PhD at the University of Maryland, College Park, advised by Jordan Boyd-Graber and Hal Daumé III. My research interests lie broadly in natural language processing and machine learning. Much of my work uses deep learning to model language at the discourse level. Problems in this vein that I'm currently excited about include:

(1) efficiently generating coherent text
(2) answering questions about documents
(3) understanding narratives in fictional text

STUDENTS Nader Akoury, Kalpesh Krishna, Simeng Sun, Tu Vu, Shufan Wang //
If you're a prospective PhD student, click here for more info.

If you're a current undergraduate or MS student at UMass interested in research, click here.

NEW: If you're looking for a postdoc, click here for more info.


  • Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts.
    Jack Merullo*, Luke Yeh*, Abram Handler, Alvin Grissom II, Brendan O'Connor, and Mohit Iyyer.
    EMNLP 2019 (short)

    data + code // bibtex

  • Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.
    Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, and Andrew McCallum.
    EMNLP 2019 (short)


  • Attentive History Selection for Conversational Question Answering.
    Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, and Mohit Iyyer
    CIKM 2019


  • Syntactically Supervised Transformers for Faster Neural Machine Translation.
    Nader Akoury, Kalpesh Krishna, and Mohit Iyyer.
    ACL 2019

    code + data // bibtex

  • Generating Question-Answer Hierarchies.
    Kalpesh Krishna and Mohit Iyyer.
    ACL 2019

    project page (code + data + live demo) // bibtex

  • Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.
    Tu Vu and Mohit Iyyer.
    ACL 2019 (short)

    code // bibtex

  • Quizbowl: The Case for Incremental Question Answering.
    Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, and Jordan Boyd-Graber.
    arXiv 2019


  • BERT with History Modeling for Conversational Question Answering.
    Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, and Mohit Iyyer.
    SIGIR 2019 (short)

    code // bibtex

  • Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.
    Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum.
    NAACL 2019

    code // bibtex

  • Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism
    Shufan Wang, Mohit Iyyer
    NAACL 2019 (short)


  • QuAC: Question Answering in Context.
    Eunsol Choi*, He He*, Mohit Iyyer*, Mark Yatskar*, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer.
    EMNLP 2018

    project page // datasheet // bibtex

  • Pathologies of Neural Models Make Interpretation Difficult.
    Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez and Jordan Boyd-Graber
    EMNLP 2018

    video // slides // bibtex // press: UMD

  • Revisiting the Importance of Encoding Logic Rules in Sentiment Classification.
    Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer
    EMNLP 2018 (short)

    code + data // video // bibtex

  • Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.
    Mohit Iyyer*, John Wieting*, Kevin Gimpel, Luke Zettlemoyer.
    NAACL 2018

    code + data // video // bibtex

  • Deep Contextualized Word Representations.
    Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer.
    NAACL 2018 (best long paper)

    code // video // bibtex

  • Learning to Color from Language.
    Varun Manjunatha*, Mohit Iyyer*, Jordan Boyd-Graber, Larry Davis.
    NAACL 2018 (short)

    code // bibtex

  • Search-based Neural Structured Learning for Sequential Question Answering.
    Mohit Iyyer, Wen-tau Yih, and Ming-Wei Chang.
    ACL 2017

    code // data // bibtex // previous version

  • The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
    Mohit Iyyer*, Varun Manjunatha*, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé III, and Larry Davis.
    CVPR 2017 (spotlight)

    code + data // video // bibtex // press: mit tech review, digital trends

  • Unsupervised Learning of Evolving Relationships Between Literary Characters.
    Snigdha Chaturvedi, Mohit Iyyer, and Hal Daumé III.
    AAAI 2017


  • Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.
    Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber, and Hal Daumé III.
    NAACL 2016 (best long paper)

    code + data // supplementary // slides // video // bibtex // press: aeon

  • "A Distorted Skull Lies in the Bottom Center..." Identifying Paintings from Text Descriptions.
    Anupam Guha, Mohit Iyyer, and Jordan Boyd-Graber.
    NAACL Human-Computer QA Workshop, 2016

    data // bibtex

  • Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.
    Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher.
    ICML 2016


  • Interactive Incremental Question Answering.
    Jordan Boyd-Graber, Mohit Iyyer, He He, and Hal Daumé III.
    NIPS Demonstration Track, 2015 (outstanding demonstration)


  • Deep Unordered Composition Rivals Syntactic Methods for Text Classification.
    Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III.
    ACL 2015

    code + data // slides // video // bibtex

  • Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers.
    Anupam Guha, Mohit Iyyer, Danny Bouman, and Jordan Boyd-Graber.
    NAACL 2015

    code + data // bibtex

  • Generating Sentences from Semantic Vector Space Representations.
    Mohit Iyyer, Jordan Boyd-Graber, and Hal Daumé III.
    NIPS Workshop on Learning Semantics, 2014


  • A Neural Network for Factoid Question Answering over Paragraphs.
    Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé III.
    EMNLP 2014

    code + data // bibtex // press: umiacs, terp, diamondback, colorado cs

  • Political Ideology Detection Using Recursive Neural Networks.
    Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik.
    ACL 2014

    data // bibtex