Andrew Drozdov

I’m a PhD student in Computer Science at UMass Amherst and member of both UMass NLP and IESL. I work with Professors Andrew McCallum and Mohit Iyyer on developing neural methods for text processing. My research interests are in automatic structure discovery, instance-based learning, and text generation.

Previously, I’ve completed my Master’s in Computer Science at NYU where I worked with Professors Samuel Bowman and Kyunghyun Cho, and was a member of ML2 and CILVR. While at NYU I worked with reinforcement learning and deep syntactic models for natural language understanding.

I’ve also interned at Google Research on the AI Language Team and Brain Team, at IBM Research, and worked multiple years as a Software Engineer before starting graduate school.

selected publications

Long Paper Poster
Inducing and Using Alignments for Transition-based AMR Parsing

Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, and Ramon Fernandez Astudillo

In NAACL 2022

arXiv Bib Code
@inproceedings{drozdov2022amralign, bibtex_show = {true}, selected = {true}, abbr = {Long Paper}, award = {Poster}, category = {main}, title = {Inducing and Using Alignments for Transition-based AMR Parsing}, author = {Drozdov, Andrew and Zhou, Jiawei and Florian, Radu and McCallum, Andrew and Naseem, Tahira and Kim, Yoon and Astudillo, Ramon Fernandez}, booktitle = {NAACL}, year = {2022}, arxiv = {https://arxiv.org/abs/2205.01464}, code = {https://github.com/IBM/transition-amr-parser} }
Long Paper Poster
Improved Latent Tree Induction with Distant Supervision via Span Constraints

Zhiyang Xu, Andrew Drozdov, Jay Yoon Lee, Tim O’Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, and Andrew McCallum

In EMNLP 2021

arXiv Bib Code
@inproceedings{diora2021distantdiora, bibtex_show = {true}, selected = {true}, abbr = {Long Paper}, award = {Poster}, category = {main}, title = {Improved Latent Tree Induction with Distant Supervision via Span Constraints}, author = {Xu, Zhiyang and Drozdov, Andrew and Lee, Jay Yoon and O{'}Gorman, Tim and Rongali, Subendhu and Finkbeiner, Dylan and Suresh, Shilpa and Iyyer, Mohit and McCallum, Andrew}, booktitle = {EMNLP}, year = {2021}, arxiv = {https://arxiv.org/abs/2109.05112}, code = {https://github.com/iesl/distantly-supervised-diora} }

Long Paper Oral

The Impact of Preprint Servers in the Formation of Novel Ideas

Swarup Satish, Zonghai Yao, Andrew Drozdov, and Boris Veytsman

In EMNLP (Workshop on Scholarly Document Processing) 2020

arXiv Bib Code Workshop

@inproceedings{emnl2020biorxivimpact,
  bibtex_show = {true},
  selected = {true},
  category = {workshop},
  abbr = {Long Paper},
  award = {Oral},
  arxiv = {https://www.biorxiv.org/content/10.1101/2020.10.08.330696v1},
  code = {https://github.com/seasonyao/BiorXivImpact},
  title = {The Impact of Preprint Servers in the Formation of Novel Ideas},
  author = {Satish, Swarup and Yao, Zonghai and Drozdov, Andrew and Veytsman, Boris},
  booktitle = {EMNLP (Workshop on Scholarly Document Processing)},
  workshop = {https://ornlcda.github.io/SDProc/},
  year = {2020}
}

Long Paper Poster
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

In EMNLP 2020

Bib PDF
@inproceedings{drozdov2020sdiora, bibtex_show = {true}, selected = {true}, abbr = {Long Paper}, award = {Poster}, category = {main}, title = {Unsupervised Parsing with {S-DIORA}: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders}, author = {Drozdov, Andrew and Rongali, Subendhu and Chen, Yi-Pei and O{'}Gorman, Tim and Iyyer, Mohit and McCallum, Andrew}, booktitle = {EMNLP}, pdf = {https://aclanthology.org/2020.emnlp-main.392/}, year = {2020} }
Long Paper Oral
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, and Andrew McCallum

In NAACL 2019

arXiv Bib Code
@inproceedings{drozdov2019diora, bibtex_show = {true}, selected = {true}, abbr = {Long Paper}, award = {Oral}, category = {main}, author = {Drozdov, Andrew and Verga, Patrick and Yadav, Mohit and Iyyer, Mohit and McCallum, Andrew}, title = {Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders}, booktitle = {NAACL}, arxiv = {https://arxiv.org/abs/1904.02142}, code = {https://github.com/iesl/diora}, year = {2019} }
Short Paper Poster
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Auto-Encoders

Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, and Andrew McCallum

In EMNLP 2019

Bib PDF Code
@inproceedings{drozdov2019dioralabeled, bibtex_show = {true}, selected = {true}, abbr = {Short Paper}, award = {Poster}, category = {main}, author = {Drozdov, Andrew and Verga, Patrick and Chen, Yi-Pei and Iyyer, Mohit and McCallum, Andrew}, title = {Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Auto-Encoders}, booktitle = {EMNLP}, pdf = {https://aclanthology.org/D19-1161/}, code = {https://github.com/iesl/diora}, year = {2019} }

Journal Oral

Do latent tree learning models identify meaningful structure in sentences?

Adina Williams, Andrew Drozdov, and Samuel R. Bowman

TACL 2018

arXiv Bib Code

@article{Williams2018DoLT,
  bibtex_show = {true},
  selected = {true},
  category = {main},
  abbr = {Journal},
  award = {Oral},
  title = {Do latent tree learning models identify meaningful structure in sentences?},
  author = {Williams, Adina and Drozdov, Andrew and Bowman, Samuel R.},
  journal = {TACL},
  year = {2018},
  volume = {6},
  code = {https://github.com/nyu-mll/spinn},
  arxiv = {https://arxiv.org/abs/1709.01121},
  pages = {253-267}
}

Long Paper Poster
Emergent Communication in a Multi-Modal, Multi-Step Referential Game

Katrina Evtimova, Andrew Drozdov, Douwe Kiela, and Kyunghyun Cho

In ICLR 2018

arXiv Bib Code
@inproceedings{iclr2018emergent, bibtex_show = {true}, selected = {true}, category = {main}, abbr = {Long Paper}, award = {Poster}, arxiv = {https://arxiv.org/abs/1705.10369}, title = {Emergent Communication in a Multi-Modal, Multi-Step Referential Game}, author = {Evtimova, Katrina and Drozdov, Andrew and Kiela, Douwe and Cho, Kyunghyun}, booktitle = {ICLR}, year = {2018}, code = {https://github.com/nyu-dl/MultimodalGame} }

Ext. Abstract Poster

The Coadaptation Problem when Learning How and What to Compose

Andrew Drozdov, and Samuel R. Bowman

In ACL (Workshop on Representation Learning for NLP) 2017

Bib PDF Workshop

@inproceedings{acl2017coadapt,
  bibtex_show = {true},
  selected = {true},
  category = {workshop},
  abbr = {Ext. Abstract},
  award = {Poster},
  pdf = {https://github.com/nyu-mll/spinn/blob/master/writing/acl17-latex/acl2017.pdf},
  title = {The Coadaptation Problem when Learning How and What to Compose},
  author = {Drozdov, Andrew and Bowman, Samuel R.},
  booktitle = {ACL (Workshop on Representation Learning for NLP)},
  workshop = {https://sites.google.com/site/repl4nlp2017/},
  year = {2017}
}