Publications

Main Conference

1. 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}
   }

2. 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}
   }

3. 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}
   }

4. 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}
   }

5. 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}
   }

6. 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}
   }

7. 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}
   }

Workshop

1. 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}
   }

2. 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}
   }

Unpublished Work

1. Understanding Mutual Information and its use in InfoGAN

   Katrina Evtimova, and Andrew Drozdov

   Course Project (Inference and Representation) 2016

   Advised by David Sontag. Recognized as "Best Deep Learning Project" in the department, awarded by Yann LeCun.

   PDF
2. POS Tagging and Chunking with Subword2Word Models

   Sébastien Jean, Andrew Drozdov, and Arpit Jain

   Course Project (Statistical NLP) 2015

   PDF