Mandar Joshi | मंदार जोशी

(pronounced Mun-daar Joe-shi)

I am a fourth year PhD student at the Paul G. Allen School of Computer Science and Engineering at the University of Washington, Seattle. I work in the area of natural language processing, and I am advised by Luke Zettlemoyer and Dan Weld.

Before coming to the UW, I was a research engineer at IBM Research, Bangalore where I worked on creating language technology for IBM's businesses. I received my Master's degree from Indian Institute of Technology, Bombay; Soumen Chakrabarti was my thesis adviser.


When I am not doing Computer Science-y stuff, I like to hike, dance, and play racket sports.


Publications

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov RoBERTa: A Robustly Optimized BERT Pretraining Approach . ArXiv:1907.11692, 2019.
Mandar Joshi*, Danqi Chen*, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy. SpanBERT: Improving Pre-training by Representing and Predicting Spans. ArXiv:1907.10529, 2019.
* Equal Contribution
Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer. BERT for Coreference Resolution: Baselines and Analysis. (Short) Proceedings of Emperical Methods in Natural Language Processing (EMNLP), 2019.
Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer. pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
[Code]
Mandar Joshi, Eunsol Choi, Daniel Weld, Luke Zettlemoyer. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension Association for Computational Linguistics (ACL) 2017.
[ website ] [ bib ]
Mandar Joshi, Uma Sawant, Soumen Chakrabarti. Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries.. Empirical Methods in Natural Language Processing (EMNLP) 2014.
[ Slides ]
Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh Deshpande, Shiwali Mohan. Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario.. (Short) IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2012.

Contact

Paul G. Allen Centre for Computer Science and Engineering
The University of Washington
Seattle, WA

Email: mandar90[at]cs[dot]washington[dot]edu