RESEARCH

Summary | Grants | Publications | Invited talks

[9/10/2026]Through the AI Glass: From Metaphors to Creative Writing Keynote Talk at the 9th International Conference on Figurative Thought and Language (FTL9) (Conference Theme: Blending Minds and Machines: Figurative Language, Creativity, AI, and Computational Linguistics), Valencia, Spain.
[11/11/2025]Invited talk at the panel Human AI Alignment at the Workshop on AI at VPS Workshop: Foundation Models Across Scales – From Cells to Health Systems, Columbia University.
[4/2/2025] Human-centered Natural Language Processing for Social Good. Panel on ”The Futureof Data Science and AI” at the Data Science Day 2025, Data Science Institute, Columbia University.
[5/6-7/2024]Large Language Models: The Curious Cases of Argumentation and Creativity. Invited Seminar for the PhD Spring School of the PhD Program in Applied Linguistics: Managing Languages, Arguments and Narratives in the Datafied Society (LAND) in Switzerland.
[4/20/2024]Generative AI: The Curious Case of Commonsense and Creativity. Invited Talk at Barnard Next.
[03/07/2024] Human-Centeric NLP: From Argumentation to Creativity. Invited Talk at the Basque Center for Language Technology, Spain.
[11/16/2023 ]Large Language Models and Scientific Communication: Opportunities and Challenges at the Visualizing Science Webinar on Responsible AI, Columbia University.
[05/25/2023] Human-centric Natural Language Processing for Social Good and Responsible Computing at Forum Numerica Seminar of the Université Côte d'Azur's Academy of Excellence ``Networks, Information and Digital society''.
04/20/2023 Human-centric Natural Language Processing for Social Good and Responsible Computing . Invited Talk, Computer Science Seminar, Barnard College.
[02/03/2023] Invited talk at the NIST TAC Workshop Panel on ``Understanding the Nature of Accurate vs. Inaccurate and Authentic vs. Potentially Inauthentic News/Discourse''.
[10/24/2022] The Role of Text Generation in Argumentation Invited Plenary Talk at the Dagstuhl Seminar ``Towards a Unified Model of Scholarly Argumentation''.
[10/13/2022] Role of Text Generation for Responsible Computing Invited Talk at Rice University's CS Colloquim.
[5/27/2022] The Role of Text Generation in Fighting Hostile Posts. Keynote Talk at the ``Second Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation'' collocated with ACL 2022.
[4/29/2022] Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation. Invited Talk, Women+@DCS Seminar, University of Sheffield, UK.
[10/19/2021] Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation . Invited talk at the University of Michigan's AI Seminar.
[10/07/2021] Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation . Invited talk, Computer Science Seminar, Barnard College.
[8/21/2021] Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation . Keynote talk at IJCAI 2021 Workshop ``Is Neuro-Symbolic SOTA still a myth for Natural Language Inference?''
[4/16/2021] Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation . Invited talk at UIUC NLP seminar.
[05/13/2019] Computational Models for Understanding Language in Social Context . Invited Talk at Amazon.
[10/24/2017] Identification of Non-literal Language in Social Media: A Case Study on Sarcasm . Invited Talk at Bloomberg.
[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
Associate Professor
Department of Computer Science
Barnard College, Columbia University
email: smuresan --AT-- barnard.edu
Curriculum Vitae

Mailing Address:
Milbank Room 206C
3009 Broadway, New York, NY 10027