Rishabh Joshi

Language Technologies InstituteSchool of Computer ScienceCarnegie Mellon University
Gates Hillman Center, 5000 Forbes Ave, Pittsburgh, PA 15213

I am a MLT (Master's in Language Technologies) student in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University, co-advised by Alan W Black, Yulia Tsvetkov and Alex Rudnicky.

My research focuses on developing algorithms for machine learning and applying my methods in order to study how machines can mimic humans in congitive tasks, especially those related to Language. My main research project with Alan and Yulia is on negotiation and persuasion in dialogue systems where we are trying to understand the qualities of good/bad sellers/persuaders. We are also trying to build a system that can suggest optimum strategies for a favourable outcome. Under Alex, I'm working with CMU's team for the Amazon Alexa Challenge, 2020.

Before I joined CMU, I worked in Samsung Research Institute, Bangalore, India where I was working in the Voice Intelligence Team on dialogue systems and chat-bots. Before that, I spent a wonderful semester working with Partha Talukdar at Machine and Language Learning (MALL) Lab in the Indian Institute of Science, Bangalore. I graduated with a B.Eng. in Computer Science from Birla Institute of Technology and Science, Pilani, India. In my Bachelor's thesis, I worked on incorporating external knowledge in distantly supervised neural relation extraction methods as part of iNELL (which is based on NELL).

News

Mar 16, 2020

Our work on Analyzing the Extent of Misinformation in Cancer Related Tweets was accepted for poster presentation at ICWSM 2020.

Feb 12, 2020

Our work on A Multistream Vector Representation for use in Natural Dialog was accepted for poster presentation at LREC 2020.

Aug 22, 2019

Gave a talk at the 2019 LTI Student Research Symposium. Won a honourable mention award.

Aug 7, 2018

Our work on Improving Distanty Supervised Neural Relation Extraction using Side Information was accepted for oral presentation at EMNLP 2018.