Mohit Bansal

Ph.D. Candidate Computer Science Division University of California, Berkeley

About Me

I am a (4th year) PhD candidate in Computer Science at UC Berkeley. I am a member of the Natural Language Processing group working with Dan Klein.

I received my Bachelor of Technology degree in Computer Science and Engineering from the Indian Institute of Technology Kanpur, in May 2008.

Research Interests

My research interests are in statistical natural language processing (NLP). My current focus is to use web-scale information to improve full-scale NLP tasks. I have worked on parsing and machine translation, and have also done some work on sentiment and subjectivity analysis, and speech processing.

Awards

Qualcomm Innovation Fellowship, 2011

Tong Leong Lim Pre-Doctoral Prize 2011 , CS department, UC Berkeley

INLAKS Award of Excellence at IITs, 2005-2008

OPJEMS Fellowship, IIT Kanpur, 2007-2008

IIT Kanpur Academic Excellence Award, 2004-2005 and 2005-2006

Cornell Summer Research Fellowship, Summer 2007

Publications

• Web-Scale Features for Full-Scale Parsing
  Mohit Bansal and Dan Klein.
  In proceedings of ACL, 2011.[pdf]
• Gappy Phrasal Alignment By Agreement
  Mohit Bansal, Chris Quirk and Robert Moore.
  In proceedings of ACL, 2011.[pdf]
• The Surprising Variance in Shortest-Derivation Parsing
  Mohit Bansal and Dan Klein.
  In proceedings of ACL, 2011 (short paper).[pdf]
• Mention Detection: Heuristics for the OntoNotes annotations
  Jonathan K. Kummerfeld, Mohit Bansal, David Burkett and Dan Klein.
  In proceedings of CoNLL, 2011 (Shared Task).[pdf]
• Simple, Accurate Parsing with an All-Fragments Grammar
  Mohit Bansal and Dan Klein.
  In proceedings of ACL, 2010.[pdf] [slides]
• Efficient Parsing for Transducer Grammars
  John DeNero, Mohit Bansal, Adam Pauls, and Dan Klein.
  In proceedings of NAACL-HLT, 2009.[pdf] [slides]
• The power of negative thinking: Exploiting label disagreement in the min-cut classification framework
  Mohit Bansal, Claire Cardie, and Lillian Lee.
  In proceedings of COLING: Companion volume: Posters, pp. 13–16, 2008.[pdf] [slides]
• Estimating Hybrid Frequency Moments of Data Streams
  Sumit Ganguly, Mohit Bansal, and Shruti Dube.
  In proceedings of Frontiers of Algorithmics Workshop (FAW), LNCS 5059, pp. 55-66, 2008. Also accepted in Journal of Combinatorial Optimization (JOCO).[pdf]
• Text Processing for Text-to-Speech Systems in Indian Languages:
  Anand A Raj, Tanuja Sarkar, Satish C Pammi, Santhosh Yuvaraj, Mohit Bansal, Kishore Prahallad, and Alan W Black.
  In proceedings of 6th ISCA Speech Synthesis Workshop SSW6, 2007.[pdf]

Teaching

Graduate Student Instructor for CS188 (Introduction to Artificial Intelligence), Fall 2011.
Instructor: Dan Klein.
Topics covered: Search, CSPs, Games, MDPs, Reinforcement Learning, Probability, Bayes' Nets, VPI, HMMs, Machine Learning

Graduate Student Instructor for CS194-10 (Advanced Topics in Artificial Intelligence), Spring 2009.
Instructors: Pieter Abbeel, Dan Klein, Jitendra Malik.
Topics covered: Computer Vision, Robotics, Natural Language Processing and Machine Learning.

Internships

Google Research, Mountain View, Summer 2011
Mentors: John DeNero and Dekang Lin

Microsoft Research, Redmond, Summer 2010
Mentors: Chris Quirk and Bob Moore

Cornell University (CS), Summer 2007
Mentors: Lillian Lee and Claire Cardie

Contact Information