Rohan Kumar

Rohan Kumar

Graduate Student

Carnegie Mellon University

I am a Graduate Student at the Language Technologies Institute, Carnegie Mellon University. I am broadly interested in Machine Learning for NLP and building efficient solutions for real-world problems. I’m currently exploring Graph-based methods for NLP tasks. I am advised by Ruslan Salakhuditnov.

Previously, I was working on long-form summarization, advised by Yiming Yang. Before that, I developed machine learning models for Search as a Data Scientist at Flipkart (a Walmart company), India. I was also a Visiting Research Scholar at the Computer Science Dept, CMU studying online user satisfaction and anomalous behavior, advised by Christos Faloutsos before that.

Interests
  • Natural Language Processing
  • Machine Learning
  • Information Retrieval

Publications

Logic Constrained Pointer Networks for Interpretable Textual Similarity
Addressing Vocabulary Gap in E-commerce Search
Did We Get It Right? Predicting Query Performance in e-Commerce Search
Tweeting Traffic: Analyzing Twitter for generating real-time city traffic insights and predictions