कार्तिक रघुनाथन (Karthik Raghunathan)

Ktick
  • Scientist II (Bing Speech and Language Sciences), Microsoft Silicon Valley
  • Alumnus, Stanford Computer Science (Graduate class of 2010)
  • Alumnus, NIT Calicut Computer Science and Engineering (Class of 2008)

About Me

I am a Scientist in Bing Speech and Language Sciences at Microsoft Silicon Valley, where I work on improving conversational understanding models for our speech-enabled products such as Xbox and Windows Phone. In my previous roles at Microsoft, I have worked as a Research Engineer in the Bing Natural Language Features Team, headed by Ron Kaplan and as a Software Development Engineer in the Natural Language Group of Microsoft Office.

Before joining Microsoft, I graduated from Stanford University with an MS in Computer Science (specializing in Artificial Intelligence) with Distinction in Research in Natural Language Processing. Throughout the duration of my Masters studies, I was a graduate research assistant at the Stanford Natural Language Processing Group (part of the Stanford AI Lab) and worked on the problems of Coreference Resolution, Situated Human-Robot Interaction, Text Message Normalization and Statistical Machine Translation. I have had the privilege to be advised by the first authors of the two most popular textbooks in NLP, Prof. Christopher Manning and Prof. Dan Jurafsky.

I hold a Bachelor of Technology (B.Tech) degree in Computer Science and Engineering from the National Institute of Technology Calicut in India. I have done my schooling from Prakash Higher Secondary School (affiliated to the Central Board of Secondary Education, Delhi) at Ahmedabad.

Research Interests

Natural Language Processing, Conversational Human-Machine Interaction, Information Retrieval and related fields of Artificial Intelligence

Useful Links

JavaNLP - Statistical NLP toolkits for various major computational linguistics problems, developed by the Stanford NLP group

Stanford CoreNLP - A suite of core NLP tools including our new coreference resolution system from EMNLP 2010

Phrasal - Stanford's phrase-based statistical machine translation system

Stanford SMS Translator - SMS text normalization tool from our CS224N project at Stanford

DAGAP - Some helpful tips for US graduate school aspirants

Alma Mater

StanfordNIT CalicutPrakash Higher Secondary School

Contact

Preferred Email: "kr" at this domain.

Homepage at Work