Mandar Joshi | मंदार जोशी

(pronounced Mun-daar Joe-shi)

I am a second year graduate 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 Dan Weld and Luke Zettlemoyer.

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. In my previous life, I was an undergraduate at Visvesvaraya National Institute of Technology, Nagpur.


When I am not doing Computer Science-y stuff, I like to hike, dance, and watch football (nope, still not calling it soccer).


Publications

Mandar Joshi, Eunsol Choi, Daniel Weld, Luke Zettlemoyer. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension In Association for Computational Linguistics (ACL) 2017, Vancouver, Canada.
[ website ] [ bib ]
Mandar Joshi, Uma Sawant, Soumen Chakrabarti. Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries. In Empirical Methods in Natural Language Processing (EMNLP) 2014, Doha Qatar.
[ Slides ]
Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh Deshpande, Shiwali Mohan. Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario. In Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2012.
Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh Deshpande, Shiwali Mohan. Hierarchical Action Selection for Reinforcement Learning in Infinite Mario. In Proceedings of the 6th Starting Artificial Intelligence Research Symposium (co-located with ECAI), 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