I'm a PhD student at UMass-Amherst with a focus in deep learning and natural language processing.

   

Research

Main Conference
Andrew Drozdov, Subendhu Rongal, Yi-Pei Chen, Tim O'Gorman, Mohit Iyyer, Andrew McCallum
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders
EMNLP 2020
[paper]
Andrew Drozdov, Pat Verga, Yi-Pei, Mohit Iyyer, Andrew McCallum
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Auto-Encoders
EMNLP 2019
[paper]
Andrew Drozdov, Pat Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
NAACL 2019
[paper] [code]
Katrina Evtimova, Andrew Drozdov, Douwe Kiela, Kyunghyun Cho
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
ICLR 2018
[paper] [code]
Adina Williams, Andrew Drozdov, Samuel Bowman
Learning to parse from a semantic objective: It works. Is it syntax?
TACL 2018
[paper] [code]
Workshop
Andrew Drozdov and Samuel Bowman
The Coadaptation Problem when Learning How and What to Compose
ACL 2017 (Extended Abstract)
[workshop]
Unpublished Work
Katrina Evtimova and Andrew Drozdov (Advised by David Sontag)
Understanding Mutual Information and its use in InfoGAN
Course Paper for Inference and Representation (2016)
[paper] [award]
Sébastien Jean, Andrew Drozdov, and Arpit Jain
POS Tagging and Chunking with Subword2Word Models
Course Paper for Statistical Natural Language Processing (2015)
[paper]