![]() ![]() Before joining CMU, I received my BE (bachelor of engineering) in Computer Science from Birla Institute of Technology and Science, Pilani in August 2016. Prior to starting my PhD, I received my Masters in Language Technologies from Carnegie Mellon University in August 2018. In the past, I have also worked with Prof Ed Hovy, Prof Graham Neubig, Prof Eric Nyberg, Prof Alan Black and Prof James Antaki on various projects. I am lucky to be advised by Prof Carolyn Rose. In the past, I have worked on discourse-level temporal event ordering, natural language inference and numerical reasoning. My current research tackles the task of developing event extractors for medical data, with no in-domain training data. My primary research interests lie in developing better models and evaluation paradigms for the long tail in language understanding, i.e., domains and phenomena that have traditionally received less attention in standard language understanding benchmarks. Pittsburgh, PA 15217 am a PhD student in the Language Technologies Institute at the School of Computer Science in Carnegie Mellon University.“Private tutoring and its impact on students' academic achievement, formal schooling, and educational inequality in Korea.” Unpublished doctoral thesis. ![]() Tutors, instructors, experts, educators, and other professionals on the platform are independent contractors, who use their own styles, methods, and materials and create their own lesson plans based upon their experience, professional judgment, and the learners with whom they engage. ![]() ![]() Varsity Tutors connects learners with a variety of experts and professionals. Varsity Tutors does not have affiliation with universities mentioned on its website. Media outlet trademarks are owned by the respective media outlets and are not affiliated with Varsity Tutors.Īward-Winning claim based on CBS Local and Houston Press awards. Names of standardized tests are owned by the trademark holders and are not affiliated with Varsity Tutors LLC.Ĥ.9/5.0 Satisfaction Rating based upon cumulative historical session ratings through 12/31/20. ![]()
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