mohit iyyer

publications

• Weakly-Supervised Open-Retrieval Conversational Question Answering.
  Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, and Mohit Iyyer.
  ECIR 2020
  

  bibtex

                  @inproceedings{ecir20,
                  author={Chen Qu and Liu Yang and Cen Chen and W. Bruce Croft and Kalpesh Krishna and Mohit Iyyer},
                  Booktitle = {European Conference on Information Retrieval},
                  Year = "2021",
                  Title={Weakly-Supervised Open-Retrieval Conversational Question Answering},
                  }
                      

• Analyzing Gender Bias within Narrative Tropes.
  Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, and Mohit Iyyer.
  Workshop on NLP and CSS at EMNLP 2020
  

  data // bibtex

  @inproceedings{sdiora20,
  author={Dhruvil Gala and Mohammad Omar Khursheed and Hannah Lerner and Brendan O'Connor and Mohit Iyyer},
  Booktitle = {Workshop on NLP and CSS at EMNLP},
  Year = "2020",
  Title={Analyzing Gender Bias within Narrative Tropes},
  }
                      

• Exploring and Predicting Transferability across NLP Tasks.
  Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, and Mohit Iyyer.
  EMNLP 2020
  

  code // bibtex

  @inproceedings{transfer20,
  author={Tu Vu and Tong Wang and Tsendsuren Munkhdalai and Alessandro Sordoni and Adam Trischler and Andrew Mattarella-Micke and Subhransu Maji and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={Exploring and Predicting Transferability across NLP Tasks},
  }
                      

• Reformulating Unsupervised Style Transfer as Paraphrase Generation.
  Kalpesh Krishna, John Wieting, and Mohit Iyyer.
  EMNLP 2020
  

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

  @inproceedings{style20,
  author={Kalpesh Krishna and John Wieting and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={Reformulating Unsupervised Style Transfer as Paraphrase Generation},
  }
                      

• STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation.
  Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, and Mohit Iyyer.
  EMNLP 2020
  

  project page (data + leaderboard) // bibtex

  @inproceedings{storium20,
  author={Nader Akoury and Shufan Wang and Josh Whiting and Stephen Hood and Nanyun Peng and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation},
  }
                      

• Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders.
  Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O'Gorman, Mohit Iyyer, and Andrew McCallum.
  EMNLP 2020
  

  bibtex

  @inproceedings{sdiora20,
  author={Andrew Drozdov and Subendhu Rongali and Yi-Pei Chen and Tim O'Gorman and Mohit Iyyer and Andrew McCallum},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders},
  }
                      

• Hard-Coded Gaussian Attention for Neural Machine Translation.
  Weiqiu You*, Simeng Sun*, and Mohit Iyyer.
  ACL 2020
  

  code // bibtex

  @inproceedings{acl2020,
  Author = {Weiqiu You and Simeng Sun and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2020",
  Title = {Hard-Coded Gaussian Attention for Neural Machine Translation}
  }
                      

• Open-Retrieval Conversational Question Answering.
  Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, and Mohit Iyyer.
  SIGIR 2020
  

  bibtex

  @inproceedings{openconvqa,
  Author = {Chen Qu and Liu Yang and Cen Chen and Minghui Qiu and W. Bruce Croft and Mohit Iyyer},
  Booktitle = {43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  Year = "2020",
  Title = {Open-Retrieval Conversational Question Answering}
  }
                      

• Which Evaluations Uncover Sense Representations that Actually Make Sense?
  Fenfei Guo, Jordan Boyd-Graber, Mohit Iyyer, and Leah Findlater.
  LREC 2020
  

  bibtex

  @inproceedings{lrec2020,
  Author = {Fenfei Guo and Jordan Boyd-Graber and Mohit Iyyer and Leah Findlater},
  Booktitle = {Language Resources and Evaluation Conference},
  Year = "2020",
  Title = {Which Evaluations Uncover Sense Representations that Actually Make Sense?}
  }
                      

• Thieves on Sesame Street! Model Extraction of BERT-based APIs.
  Kalpesh Krishna, Gaurav Singh Tomar, Ankur Parikh, Nicolas Papernot, and Mohit Iyyer.
  ICLR 2020
  

  code // bibtex

  @inproceedings{thieves20,
  Author = {Kalpesh Krishna and Gaurav Singh Tomar and Ankur Parikh and Nicolas Papernot and Mohit Iyyer},
  Booktitle = {International Conference on Learning Representations},
  Year = "2020",
  Title = {Thieves on Sesame Street! Model Extraction of BERT-based APIs.}
  }
                      

• 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 // press: The Undefeated

  @inproceedings{football2019,
  Author = {Jack Merullo and Luke Yeh and Abram Handler and Alvin Grissom II and Brendan O'Connor and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2019",
  Title = {Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts.}
  }
                      

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

  bibtex

  @inproceedings{diora2_2019,
  Author = {Andrew Drozdov and Patrick Verga and Yi-Pei Chen and Mohit Iyyer and Andrew McCallum},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2019",
  Title = {Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders}
  }
                      

• 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
  

  bibtex

  @inproceedings{cikm2019,
  Author = {Chen Qu and Liu Yang and Minghui Qiu and Yongfeng Zhang and Cen Chen and W. Bruce Croft and Mohit Iyyer},
  Booktitle = {Conference on Information and Knowledge Management},
  Year = "2019",
  Title = {Attentive History Selection for Conversational Question Answering} 
                      

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

  code + data // bibtex

  @inproceedings{synst2019,
  Author = {Nader Akoury and Kalpesh Krishna and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2019",
  Title = {Syntactically Supervised Transformers for Faster Neural Machine Translation}
  }
                      

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

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

  @inproceedings{squash2019,
  Author = {Kalpesh Krishna and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2019",
  Title = {Generating Question-Answer Hierarchies}
  }
                      

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

  code // bibtex

  @inproceedings{paraemb2019,
  Author = {Tu Vu and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2019",
  Title = {Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification}
  }
                      

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

  bibtex

  @inproceedings{QB2019,
  Author = {Pedro Rodriguez and Shi Feng and Mohit Iyyer and He He and Jordan Boyd-Graber},
  Booktitle = {arXiv},
  Year = "2019",
  Title = {Quizbowl: The Case for Incremental Question Answering}
  }
                      

• 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

  @inproceedings{ConvQA2019,
  Author = {Chen Qu and Liu Yang and Minghui Qiu and W. Bruce Croft and Yongfeng Zhang and Mohit Iyyer},
  Booktitle = {42nd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  Year = "2019",
  Title = {BERT with History Modeling for Conversational Question Answering}
  }
                      

• 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

  @inproceedings{DIORA2019,
  Author = {Andrew Drozdov and Patrick Verga and Mohit Yadav and Mohit Iyyer and Andrew McCallum},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2019",
  Title = {Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders}
  }
                      

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

  bibtex

  @inproceedings{Wang2019,
  Author = {Shufan Wang and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2019",
  Title = {Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism}
  }
                      

• 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

  @inproceedings{ChoiQuAC2018,
  Author = {Eunsol Choi and He He and Mohit Iyyer and Mark Yatskar and Wen-tau Yih and Yejin Choi and Percy Liang and Luke Zettlemoyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2018",
  Title = {QuAC: Question Answering in Context}
  }
                      

• 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

  @inproceedings{FengRAWR2018,
  Author = {Shi Feng and Eric Wallace and Alvin Grissom II and Mohit Iyyer and Pedro Rodriguez and Jordan Boyd-Graber},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2018",
  Title = {Pathologies of Neural Models Make Interpretation Difficult}
  }
                      

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

  code + data // video // bibtex

  @inproceedings{KrishnaRevisit2018,
  Author = {Kalpesh Krishna and Preethi Jyothi and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2018",
  Title = {Revisiting the Importance of Encoding Logic Rules in Sentiment Classification}
                      

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

  code + data // video // bibtex

  @inproceedings{IyyerSCPN2018,
  Author = {Mohit Iyyer and John Wieting and Kevin Gimpel and Luke Zettlemoyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2018",
  Title = {Adversarial Example Generation with Syntactically Controlled Paraphrase Networks}
  }
                      

• 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

  @inproceedings{PetersELMo2018,
  Author = {Matthew E. Peters and Mark Neumann and Mohit Iyyer and Matt Gardner and Christopher Clark and Kenton Lee and Luke Zettlemoyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2018",
  Title = {Deep contextualized word representations}
  }
                      

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

  code // bibtex

  @inproceedings{Manjunatha2018,
  Author = {Varun Manjunatha and Mohit Iyyer and Jordan Boyd-Graber and Larry Davis},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2018",
  Title = {Learning to Color from Language}
  }
                      

• 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

  @inproceedings{IyyerSQA2016,
  Author = {Mohit Iyyer and Wen-tau Yih and Ming-Wei Chang},
  Booktitle = {Association for Computational Linguistics},
  Year = "2017",
  Title = {Search-based Neural Structured Learning for Sequential Question Answering}
  }
                      

• 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

  @inproceedings{IyyerComics2016,
  Author = {Mohit Iyyer and Varun Manjunatha and Anupam Guha and Yogarshi Vyas and Jordan Boyd-Graber 
  and Hal {Daum\'{e} III} and Larry Davis},
  Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
  Year = "2017",
  Title = {The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives}
  }
                      

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

  bibtex

  @inproceedings{Chaturvedi:Iyyer:Daume-III-2016,
  Author = {Snigdha Chaturvedi and Mohit Iyyer and Hal {Daum\'{e} III}},
  Booktitle = {Association for the Advancement of Artificial Intelligence},
  Year = {2017},
  Title = {Unsupervised Learning of Evolving Relationships Between Literary Characters},
  }
                      

• 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

  @inproceedings{Iyyer:Guha:Chaturvedi:Boyd-Graber:Daume-III-2016,
  Author = {Mohit Iyyer and Anupam Guha and Snigdha Chaturvedi and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  Booktitle = {North American Association for Computational Linguistics},
  Location = {San Diego, CA},
  Year = {2016},
  Title = {Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships},
  }
                      

• "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

  @inproceedings{Guha:Iyyer:Boyd-Graber-2016,
  Author = {Anupam Guha and Mohit Iyyer and Jordan Boyd-Graber},
  Booktitle = {NAACL Human-Computer Question Answering Workshop},
  Location = {San Diego},
  Year = {2016},
  Title = {A Distorted Skull Lies in the Bottom Center: Identifying Paintings from Text Descriptions},
  }
                      

• 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
  

  bibtex

  @inproceedings{DMN2016,
  Author = {Ankit Kumar and Ozan Irsoy and Peter Ondruska and Mohit Iyyer and James Bradbury and Ishaan Gulrajani and Victor Zhong and Romain Paulus and Richard Socher}, 
  Booktitle = {International Conference on Machine Learning},
  Year = {2016}, 
  Title = {Ask Me Anything: Dynamic Memory Networks for Natural Language Processing},
  }
                      

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

  bibtex

  @inproceedings{Boyd-Graber:Iyyer:He:Daume-III-2015,
  Author = {Jordan Boyd-Graber and Mohit Iyyer and He He and Hal {Daum\'{e} III}},
  Booktitle = {Neural Information Processing Systems},
  Location = {Montreal, Canada},
  Year = {2015},
  Title = {Interactive Incremental Question Answering},
  }
                      

• 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
  

  @inproceedings{Iyyer:Manjunatha:Boyd-Graber:III}-2015,
  Title = {Deep Unordered Composition Rivals Syntactic Methods for Text Classification},
  Booktitle = {Association for Computational Linguistics},
  Author = {Mohit Iyyer and Varun Manjunatha and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  Year = {2015},
  Location = {Beijing, China}
  }
                      

• 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

  @inproceedings{Guha:Iyyer:Bouman:Boyd-Graber-2015,
  Title = {Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers.},
  Author = {Anupam Guha and Mohit Iyyer and Danny Bouman and Jordan Boyd-Graber},
  Booktitle = {North American Association for Computational Linguistics},
  Year = {2015},
  Location = {Denver, Colorado}
  }
                  

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

  bibtex

  @inproceedings{Iyyer:Boyd-Graber:Daume-2014,
  Title = {Generating Sentences from Semantic Vector Space Representations},
  Author = {Mohit Iyyer and Jordan Boyd-Graber and Hal {Daum\'e III}},
  Booktitle = {NIPS Workshop on Learning Semantics},
  Year = {2014},
  Location = {Montreal, Canada}
  }
                  

• 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

  @inproceedings{Iyyer:Boyd-Graber:Claudino:Socher:Daume-2014,
  Title = {A Neural Network for Factoid Question Answering over Paragraphs},
  Author = {Mohit Iyyer and Jordan Boyd-Graber and Leonardo Claudino and Richard Socher and Hal {Daum\'e III}},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = {2014},
  Location = {Doha, Qatar},
  }
                  

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

  data // bibtex

  @inproceedings{Iyyer:Enns:Boyd-Graber:Resnik-2014,
  Title = {Political Ideology Detection Using Recursive Neural Networks},
  Author = {Mohit Iyyer and Peter Enns and Jordan Boyd-Graber and Philip Resnik},
  Booktitle = {Association for Computational Linguistics},
  Year = {2014},
  Location = {Baltimore, Maryland},
  }