NOTE: My new updated site is coming soon and will be redirecting this site to the new one.

I am a first year PhD student at Language Technologies Institute, School of Computer Science, Carnegie Mellon University, working with Prof. Chris Dyer
My research interests lie at the intersection of Machine Learning, Structured Prediction,Natural Language Processing/Understanding and statistics. I am excited by the idea of enabling computers to understand the world around us and draw inferences from a plethora of observable raw data. In particular, I am interested in Bayesian models for modeling uncertainty, correlations between various related tasks and data settings, and other phenomena related to Natural Language Processing like metaphors, distributional regularities etc. Currently, I am most excited about unsupervised learning and learning in low data scenarios, which require flexible models capable of inducing bias efficiently by exploiting relatedness between various data sources and tasks. 

Prior to this, I worked at Safaba Translation Solutions, where I worked on various research problems associated with various sub components of Phrase-based Machine Translation systems, Quality estimation of Machine translated output, interpolation of language models etc. 

I obtained my Masters' degree in Language technologies from Carnegie Mellon University, where I worked with Prof. Eduard Hovy; on problems related to computational and distributional semantics including automatic metaphor detection, event coreference, word sense induction, structured word representation and sparse coded word embeddings.

Please head over to my Publications page for more details about my research experience.

For more information about my education, work experience and research experience, please have a look at my Curriculum Vitae

Feel free to contact me via email: kartikgo@cs.cmu.edu