RESEARCH

Summary | Projects | Recent Invited talks

  • [9/27/2017] Argument Mining for Assessing Students' Persuasive Essays. Workshop on "Connecting Language, Interaction and Education in Digital Environments", Penn State University.
  • [9/22/2016] Computational Models of Understanding Language in Social Context at the Social Computing Workshop organized by the Army Research Lab.
  • [4/19/2016] Argumentation Mining In Online Interactions: Opportunities and Challenges . Invited Talk at Dagstuhl Seminar on ``Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments.
  • [3/16/2016] Computational Models of Understanding Language in Context . Invited Talk at Hearst Corporation Meeting with Hearst's Executive Director of R\&D and Director of Data Science.
  • [2/24/2014] Identification of Non-literal Language in Social Media: A Case Study on Sarcasm . Yahoo! Research Lab, NYC
  • [5/22/2014] Investigating the Content of Values-Affirmation Interventions: A Data-Driven Approach to Discovering Topics in Affirmation Essays . APS Symposium. Computational Methods for Linguistic Insights into Personality and Behavior. May 22, 2015.
  • [7/30/2012] Context-dependent Language Understanding . Rutgers's Big Data Meeting.
  • [2/9/2012] Identifying Sarcasm in Twitter . Columbia University Speech Group Talks.
  • [11/11/2011] Learning for Deep Language Understanding . CUNY Graduate Center.
  • [07/01/2010] Learnable Constraint-based Grammars for Deep Language Understanding . Educational Testing Services, Princeton, NJ.
  • [05/27/2010] Learnable Constraint-based Grammars for Deep Language Understanding . IBM T.J. Watson Research Center
  • [04/13/2010] Learnable Constraint-based Grammars for Deep Language Understanding . Yahoo Machine Learning Seminar, Department of Computer Science, Rutgers University.
  • [10/29/2009] Are those fighting words? The expression of opposition in online text Ischool, Syracuse University.(together with Nina Wacholder).
  • [08/05/2009] National Language Processing at Rutgers National University of Singapore.
  • [10/02/2008] A Computational Model for Language Learning and Understanding . The Rutgers University Center for Cognitive Science, Rutgers University.
  • [02/26/2008] Learning Constraint-Based Grammars from Representative Data . The Center for Language and Speech Processing, Johns Hopkins University.

Smaranda Muresan

Smaranda Muresan
Research Scientist
Data Science Institute & CS Department
Columbia University
email: smara --AT-- columbia.edu
Curriculum Vitae

Mailing Address:
475 Riverside Drive MC 7717
(850 Interchurch Center)
New York, NY 10115