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



Mar 2019
Paper submission to NAACL-2019 accepted (selected for oral presentation).
Feb 2019
Excited to be interning at Google AI Language this summer.
Sep 2018
I've started my PhD at UMass-Amherst. Fortunate (and thrilled) to join IESL and be advised by Prof. Andrew McCallum.


Main Conference
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]
Andrew Drozdov and Samuel Bowman
The Coadaptation Problem when Learning How and What to Compose
ACL 2017 (Extended Abstract)
Unpublished Work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)