RESEARCH

Summary | Grants | Publications | Invited talks

Recent Preprints

• Tuhin Chakrabarty*, Vishakh Padmakumar * , Faeze Brahman, Smaranda Muresan. Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers . arXiv preprint. [data and interactions].
• Tuhin Chakrabarty , Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu. Art or Artifice? Large Language Models and the False Promise of Creativity . arXiv preprint. [Code and Data]
• Arkadiy Saakyan and Smaranda Muresan.ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer . arXiv preprint [Code and Data].

Conference Proceedings and Journals

• Sky CH-Wang*, Arkadiy Saakyan*, Oliver Li, Zhou Yu, Smaranda Muresan (2023). Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment . Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023.
• Oliver Li, Mallika Subramanian, Arkadiy Saakyan, Sky CH-Wang, Smaranda Muresan (2023). NormDial: A Comparable Bilingual Synthetic Dialogue Dataset for Modeling Social Norm Adherence and Violation. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023, (short paper).
• Yi R Fung, Tuhin Chakraborty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji (2023) . Normsage: Multi-lingual multi-cultural norm discovery from conversations on-the-fly Proceedings of EMNLP 2023. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023.
• Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan,Smaranda Muresan (2023). Learning to Follow Object-Centric Image Editing Instructions Faithfully. Findings of the Association for Computational Linguistics: EMNLP 2023.
• Amith Ananthram, Olivia Winn, Smaranda Muresan (2023). FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context . Transactions of Association for Computational Linguistics (TACL), 11:176–190, . [Code and Data]
• Tuhin Chakrabarty*, Arkadiy Saakyan*, Olivia Winn*, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan (2023).I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors . Findings of the Association for Computational Linguistics: ACL 2023, pages 7370–7388. [Code and Data]
• Tariq Alhindi , Tuhin Chakrabarty , Elena Musi and Smaranda Muresan (2022). Multitask Instruction-based Prompting for Fallacy Detection . Proceedings of EMNLP 2022 [Code and Data] .
• Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh and Smaranda Muresan (2022). FLUTE: Figurative Language Understanding through Textual Explanations . Proceedings of EMNLP 2022. [Code and Data: See Shared Task at FigLang2022]
• Thomas Scialom*, Tuhin Chakrabarty*, and Smaranda Muresan (2022). Fine-tuned Language Models are Continual Learners . Proceedings of EMNLP 2022. (* denote Co-First authors). [Code and Data
• Sky CH-Wang, Evan Li, Oliver Li, Smaranda Muresan, Zhou Yu (2022). Affective Idiosyncratic Responses to Music . Proceedings of EMNLP 2022.
• Tuhin Chakrabarty , Justin Lewis and Smaranda Muresan (2022). CONSISTENT: Open-Ended Question Generation From News Articles .Proceedings of Findings of EMNLP 2022. [Code and Data ]
• Sujay Khandagale, Yoann Léveillé, Samuel Miller, Derek Pham, Ramy Eskander, Cass Lowry, Richard Compton, Judith Klavans, Maria Polinsky, Smaranda Muresan (2022). Towards Unsupervised Morphological Analysis of Polysynthetic Languages . In Proceedings of AACL-IJCNLP 2022 (short paper).
• Ramy Eskander, Cass Lowry, Sujay Khandagale, Judith Klavans, Maria Polinsky, and Smaranda Muresan (2022). Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages . In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022). [Code and Data ]
• Nabila El-Bassel, Karli R. Hochstatter, Melissa N. Slavin, Chenghao Yang, Yudong Zhang, and Smaranda Muresan (2022). Harnessing the Power of Social Media to Understand the Impact of COVID-19 on People Who Use Drugs During Lockdown and Social Distancing . Journal of Addiction Medicine. 2022 Mar-Apr; 16(2).
• Tuhin Chakrabarty, Arkadiy Saakyan and Smaranda Muresan (2021). `Don’t Go Far Off' : An Empirical Study on Neural Poetry Translation . Proceedings of EMNLP 2021 [Code and Data]
• Tuhin Chakrabarty, Aadit Trivedi and Smaranda Muresan (2021). Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models . Proceedings EMNLP 2021 (short paper) [Code and Data]
• Arkadiy Saakyan, Tuhin Chakrabarty and Smaranda Muresan (2021). COVID-Fact: Fact Extraction and Verification of Real-World Claims about COVID-19 Pandemic . Proceedings of ACL 2021. [Code and Data ]
• Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan and Iryna Gurevych (2021). Metaphor Generation with Conceptual Mappings . Proceedings of ACL 2021.[Code and Data ]
• Chenghao Yang, Yudong Zhang and Smaranda Muresan (2021). Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains . Proceedings of ACL 2021 (short paper).[Code]
• Ramy Eskander, Cass Lowry, Sujay Khandagale, Francesca Callejas, Judith Klavans, Maria Polinsky and Smaranda Muresan (2021) .Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors . Findings of ACL 2021 (short paper).[Code and Data]
• Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan and Smaranda Muresan (2021). Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction . Findings of ACL 2021.
• Tuhin Chakrabarty , Debanjan Ghosh, Adam Poliak and Smaranda Muresan (2021). Figurative Language in Recognizing Textual Entailment . Findings of ACL 2021 (short paper).[Code and Data]
• Tuhin Chakrabarty, Christopher Hidey and Smaranda Muresan (2021). ENTRUST: Argument Reframing with Language Models and Entailment . Proceedings of NAACL 2021.
• Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan and Nanyun Peng (2021). MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding . Proceedings NAACL 2021. [Code and Data]
• Elsbeth Turcan, Smaranda Muresan and Kathleen McKeown (2021). Emotion-Infused Models for Explainable Psychological Stress Detection . Proceedings of NAACL 2021. [Code]
• Debanjan Ghosh*, Ritvik Shrivastava*, Smaranda Muresan (2021). "Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space . Proceedings of EACL 2021. [Code]
• Tariq Alhindi, Brennan McManus, Smaranda Muresan (2021) What to Fact-Check: Guiding Check-Worthy Information Detection in News Articles through Argumentative Discourse Structure . Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2021), pages 380–391. [Code and Data]
• Tariq Alhindi, Smaranda Muresan, Daniel Preoţiuc-Pietro (2020).Fact vs. Opinion: the Role of Argumentation Features in News Classification . Proceedings of COLING 2020.
• Tuhin Chakrabarty , Smaranda Muresan and Nanyun Peng (2020). Generating similes effortlessly like a Pro : A Style Transfer Approach for Simile Generation . Proceedings of EMNLP 2020.[Code and Data]
• Ramy Eskander, Smaranda Muresan, Michael Collins (2020). Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios . Proceedings of EMNLP 2020. [Code and Data]
• Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan (2020). To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging . Proceedings of EMNLP 2020.(short paper)
• Tuhin Chakrabarty , Debanjan Ghosh, Smaranda Muresan and Nanyun Peng (2020) .R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge . Proceedings of ACL 2020. [Code and Data]
• Christopher Hidey, Tuhin Chakrabarty , Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab and Smaranda Muresan (2020). DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking . Proceedings of ACL 2020. [Code and Data]
• Ramy Eskander, Francesca Callejas, Elizabeth Nichols, Judith Klavans and Smaranda Muresan (2020). MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation . Proceedings of LREC 2020. [Code and Data]
• Ghosh, Debanjan; Musi, Elena; Upasani, Kartikeya; and Muresan, Smaranda (2020). Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity . Proceedings of the Society for Computation in Linguistics: Vol. 3 , Article 9. [Data]
• Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown and Alyssa Hwang (2019). AMPERSAND: Argument Mining for PERSuAsive oNline Discussions . In Proceedings of EMNLP 2019.[Code and Data]
• Debanjan Ghosh, Alexander Fabbri, Smaranda Muresan (2018). Sarcasm Analysis using Conversation Context . Special Issue of Computational Linguistics: Language in Social Media: Exploiting Discourse and other Contextual Information . [Code]
• Elena Musi, Debanjan Ghosh, Smaranda Muresan (2018). ChangeMyView Through Concessions: Do Concessions Increase Persuasion? Discourse and Dialogue , volume 9, number 1.
• Elena Musi, Tariq Alhindi, Manfred Stede, Leonard Kriese, Smaranda Muresan and Andrea Rocci (2018). A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations . Proceedings of Language Resources and Evaluation Conference (LREC 2018)
• Olivia Winn, Smaranda Muresan (2018). `Lighter' Can Still Be Dark:Modeling Comparative Color Descriptions. Proceedings of ACL 2018 (best short paper award) .
• Debanjan Ghosh, Smaranda Muresan (2018) ``With 1 follower I must be AWESOME :P.'' Exploring the Role of Irony Markers in Irony Recognition. Proceedings of the International Conference on Web and Social Media (ICWSM) (short paper)
• Debanjan Ghosh, Alexander Fabbri, Smaranda Muresan (2017).The Role of Conversation Context for Sarcasm Detection in Online Interactions . Proceedings of SIGDIAL 2017 (best paper award).
• Elena Musi, Mark Aakhus, Smaranda Muresan, Andrea Rocci, Manfred Stede (2017).From Theory to practice: the annotation of argument schemes. Proceedings of the European Conference on Argumentation (ECA).
• Smaranda Muresan, Roberto Gonzalez-Ibanez, Debanjan Ghosh, Nina Wacholder (2016). Identification of Non-literal Language in Social Media: A Case Study on Sarcasm . Journal of the American Society for Information Science and Technology (JASIST).
• Debanjan Ghosh, Aquila Khanam, Yubo Han, Smaranda Muresan (2016). Coarse-grained Argumentation Features for Scoring Persuasive Essays . Proceedings of ACL 2016 (short papers) [Code and Data]
• Debanjan Ghosh, Weiwei Guo, Smaranda Muresan (2015). Sarcastic or Not: Word-Embeddings to Predict the Literal or Sarcastic Meaning of Words . In Proceedings of EMNLP 2015, Lisbon, Portugal. [Code and Data]
• J. MacGlashan, M. Babes-Vroman, M. desJardins, M. Littman, S. Muresan, S. Squire, S. Tellex, D. Arumugam, and L. Yang (2015). Grounding English commands to reward functions . In Robotics: Science and Systems , 2015
• Travis Riddle, Sowmya Bhagavatula, Weiwei Guo, Smaranda Muresan, Geoff Cohen, Jonathan Cook and Valerie Purdie-Vaughns (2015). Mining a Written Values Affirmation Intervention to Identify the Unique Linguistic Features of Stigmatized Groups . Proceedings of Educational Data Mining , 2015.
• Smaranda Muresan (2013). Ontology-based Semantic In- terpretation via Grammar Constraints. In A. Oltramari, L. Qin, P. Vossen, E. Hovy (eds) New Trends of Research in Ontologies and Lexical Resources . Theoryand Applications of Natural Language Processing. Springer pp 187-207 ( PDF ).
• Smaranda Muresan, Judith Klavans (2013). Inducing Terminologies from Text: A Case Study for the Consumer Health Domain . Journal of the American Society for Information Science and Technology (JASIST).64(4), pp 727-744.
• Hao Li, Yu Chen, Heng Ji and Smaranda Muresan (2012). Combining Social Cognitive Theories with Linguistic Features for Multi-genre Sentiment Analysis . Proceedings of 26th Pacific Asia Conference on Language, Information, and Computation (PACLIC 26). [best paper nomination]
• Smaranda Muresan (2011). Learning for Deep Language Understanding . Proceedings of IJCAI 2011 .
• Roberto Gonzalez-Ibanez, Smaranda Muresan, Nina Wacholder (2011). Identifying Sarcasm in Twitter: A Closer Look . Proceedings of ACL-HTL 2011 (short paper).
• Smaranda Muresan (2010). A Learnable Constraint-based Grammar Formalism . Proceedings of the 23rd International Conference on Computational Linguistics (COLING) 2010)
• Smaranda Muresan (2010). Ontology-based Semantic Interpretation as Grammar Rule Constraints . Lecture Notes in Computer Science volume of the Conference on Computational Linguistics and Intelligent Text Processing .
• Philip Resnik, Chris Dyer, Smaranda Muresan (2010). Lattice Decoding for Hierarchical Model. in Joe Olive, ed., Handbook of Natural Language Processing and Machine Translation, Springer.
• Christopher Dyer, Smaranda Muresan and Philip Resnik (2008).Generalizing Word Lattice Translation In Proceedings of ACL 2008
• Smaranda Muresan and Owen Rambow (2007).Grammar Approximation by Representative Sublanguage: A New Model for Language Learning . In Proc. of ACL 2007.
• Smaranda Muresan, Samuel D. Popper, Peter T. Davis, and Judith L. Klavans (2003). "Building a Terminological Database from Heterogeneous Definitional Sources." Proceedings of the National Conference on Digital Government Research, Boston, Massachusett.
• Smaranda Muresan and Judith L. Klavans (2002). "A method for automatically building and evaluating dictionary resources." Proceedings of the Language Resources and Evaluation Conference (LREC 2002), 2002.
• Smaranda Muresan, Tudor Muresan, and Rodica Potolea (2002). "Data flow coherence constraints for pruning the search space in ILP tools." International Journal of Artificial Intelligence Tools, volume 11(2), 2002.
• Judith Klavans and Smaranda Muresan (2001). "Evaluation of the DEFINDER System for Fully Automatic Glossary Construction." Proceedings of the American Medical Informatics Association Symposium (AMIA 2001).
• Smaranda Muresan, Tudor Muresan, and Rodica Potolea (2001). "Data flow criteria in ILP tools." Proceedings of IEEE 13th International Conference on Tools with Artificial Intelligence 2001, 2001.
• Judith Klavans and Smaranda Muresan (2001). "Evaluation of DEFINDER: A System to Mine Definitions from Consumer-oriented Medical Text". Proceedings of The First ACM+IEEE Joint Conference on Digital Libraries, 2001.
• Smaranda Muresan, Evelyne Tzoukermann, and Judith Klavans (2001). "Combining Linguistic and Machine Learning Techniques for Email Summarization." Proceedings of CoNLL 2001, 2001. (PDF)

• Smaranda Muresan, Tudor Muresan, and Rodica Potolea (1999). "An Automatic Logic Program Generation Kernel (ALPGK)." Scientific Journal of Automation, Computers and Applied Mathematics, 8(1), 1999.
• Tudor Muresan, Rodica Potolea, and Smaranda Muresan (1998). "Amalgamating CCP with Prolog." Scientific Journal of Politechnics University, Timisoara, 43(4), 1998

Workshop Proceedings

• Efsun Sarioglu Kayi, Vishal Anand, Smaranda Muresan (2020). MultiSeg: Parallel Data and Subword Information for Learning Bilingual Embeddings in Low Resource Scenarios . Proceedings of the 1st Joint Workshop of SLTU (Spoken Language Technologies for Underresourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) (SLTU-CCURL 2020),
• Aquia Richburg, Ramy Eskander, Smaranda Muresan, Marine Carpuat (2020). An Evaluation of Subword Segmentation Strategies for Neural Machine Translation of Morphologically Rich Languages. Proceedings of the The Fourth Widening Natural Language Processing Workshop at ACL 2020.
• Tuhin Chakrabarty, Kilol Gupta, Smaranda Muresan (2019). Pay ”Attention” to your Context when Classifying Abusive Language . In Proceedings of 3rd Abusive Language Workshop, ACL 2019 Florence, Italy.
• Ramy Eskander, Judith Klavans, and Smaranda Muresan (2019). Unsupervised Morphological Segmentation for Low-Resource Polysynthetic Languages . Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology at ACL 2019, pages 189–195.
• Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Davies, Smaranda Muresan and Rebecca J. Passonneau (2019). Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays . In Proceedings of the 14th Workshop on Innovative Use of NLP for Building Educational Applications, ACL 2019, Florence, Italy.
• Tariq Alhindi, Savvas Petridis, and Smaranda Muresan (2018). Where is your evidence: Improving fact- checking by justification modeling . Proceedings of The First Workshop on Fact Extraction and Verification (FEVER) , 2018.
• Ramy Eskander, Owen Rambow, and Smaranda Muresan (2018). Automatically Tailoring Unsupervised Morphological Segmentation to the Language. Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology (SIGMorphon) at EMNLP 2018, pages 78–83.
• Christopher Hidey, Elena Musi, Alyssa Hwang, Smaranda Muresan, and Kathy McKeown (2017). Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum . Proceedings of the 4th Workshop on Argument Mining at EMNLP 2017, pages 11–21. %105 citations
• Elena Musi, Debanjan Ghosh, Smaranda Muresan (2016). Towards Feasible Guidelines for the Annotation of Argument Schemes. Proceedings of the Argumentation Mining Workshop at ACL 2016 .
• Olivia Winn, Madhavan Kidambi, Smaranda Muresan (2016). Detecting Visually Descriptive Sentences for Fine-Grained Image Classification . Proceedings of the Vision and Language Workshop at ACL 2016
• Mark Aakhus, Smaranda Muresan, Nina Wacholder (2016). An argument-ontology for a response centered approach to argumentation mining. Proceedings of the Computational Models of Natural Argument Workshop (CMNA) at IJCAI 2016.
• Debanjan Ghosh, Smaranda Muresan, Nina Wacholder, Mark Aakhus, Matthew Mitsui (2014). Analyzing Argumentative Discourse Units in Online Interactions . First Workshop on Argumentation Mining at ACL 2014
• Nina Wacholder, Debanjan Ghosh, Mark Aakhus, Smaranda Muresan (2014). Annotating Multiparty Discourse: Challenges for Agreement Metrics Proceedings of the 8th Linguistic Annotation Workshop (LAW VIII 2014) at COLING 2014, pages 120–128.
• Gaurav Kharkwal, Smaranda Muresan (2014). Surprisal as a Predicator of Essay Quality . The 9th Workshop on Innovative Use of NLP for Building Educational Applications, at ACL 2014
• Smaranda Muresan (2012). Search Space Properties for Learning a Class of Constraint-based Grammars . Proceedings of TAG+11: The 11th International Workshop on Tree Adjoining Grammars and Related Formalisms , pp 171-179.
• Choonkyu Lee, Smaranda Muresan, Karin Stromswold (2012). Computational Analysis of Referring Expresions in Narratives of Picture Books . NAACL-HLT 2012 Workshop on Computational Linguistics for Literature.
• James MacGlashan, Monica Babes-Vroman, Kevin Winner, Ruoyuan Gao, Marie desJardins, Michael Littman, Smaranda Muresan (2012).Learning to Interpret Natural Language Instructions. Proceedings of AAAI-2012 Workshop on Grounding Language for Physical Systems. (extended version of NAACL-HTL Workshop paper).
• Monica Babes-Vroman, James MacGlashan, Ruoyuan Gao, Kevin Winner, Marie desJardins, Michael Littman, Smaranda Muresan (2012). Learning to Interpret Natural Language Instructions . Proceedings of NAACL-HTL Workshop on Semantic Interpretation in an Actionable Context.
• Smaranda Muresan (2008). Learning to Map Text to Graph-based Meaning Representations via Grammar Induction . In Proc. of TextGraphs-3: Graph-based Algorithms for Natural Language Processing. Workshop at Coling 2008.
• Smaranda Muresan (2004). Inducing Constraint-based Grammars using a Domain Ontology . Proceedings of the Ninth AAAI/SIGART Doctoral Consortium, pages 995-996.
• Smaranda Muresan, Tudor Muresan, and Judith Klavans (2004). Inducing Constraint-based Grammars from a Small Semantic Treebank. AAAI Spring Symposium on Language Learning: An Interdisciplinary Perspective, Stanford University, 8 pages.
• Evelyne Tzoukermann, Smaranda Muresan, and Judith L. Klavans (2001) GIST-IT: Summarizing Email using Linguistic Knowledge and Machine Learning . Proceedings of the Workshop on Human Language Technology and Knowledge Management at ACL 2001.

Other Publications

• Arkadiy Saakyan, Tuhin Chakrabarty, Debanjan Ghosg, Smaranda Muresan (2022). A Report on the FigLang 2022 Shared Task on Understanding Figurative Language. Proceedings of the Third Workshop on Figurative Language Processing at EMNLP 2022}.
• Debanjan Ghosh, Avijit Vajpayee, and Smaranda Muresan (2020). A Report on the 2020 Sarcasm Detection Shared Task. Proceedings of the Second Workshop on Figurative Language Processing
• Tuhin Chakrabarty, Smaranda Muresan (2019). ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning. In Proceedings of the 13th International Workshop on Semantic Evaluation, NAACL-HLT , Minneapolis, USA.
• Zhuoran Liu, Shivali Goel, Mukund Yelahanka Raghuprasad, Smaranda Muresan (2019). Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification. n Proceedings of the 13th International Workshop on Semantic Evaluation , NAACL-HLT , Minneapolis, USA, June 2019
• Tuhin Chakrabarty, Tariq Alhindi and Smaranda Muresan (2018). Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.Proceedings of The First Workshop on Fact Extraction and Verification (FEVER) (shared task- 6th place provisional ranking), 2018.(shared task paper)
• Elena Musi, Debanjan Ghosh, Mark Aakhus, Smaranda Muresan and Nina Wacholder (2017). Building an ontology of (dis)agreement space for argument mining. SIGDIAL/SEMDIAL 2017 Joint Session on Negotiation Dialog. (position paper).
• Smaranda Muresan (2004). "Inducing Constraint-based Grammars using a Domain Ontology." Proceedings of the Nineth AAAI/SIGART Doctoral Consortium. San Jose, CA, July 2004. (PDF)
• Noemie Elhadad, Min-Yen Kan, Simon Lok, Smaranda Muresan (2001). PERSIVAL: personalized summarization over multimedia health-care information. Proceedings of The First ACM+IEEE Joint Conference on Digital Libraries,JCDL 2001 : 455.(demo prensentation)
• Judith Klavans and Smaranda Muresan (2000). "DEFINDER: Rule-Based Methods for the Extraction of Medical Terminology and their Associated Definitions from On-line Text." Proceedings of AMIA Symposium 2000, 2000.(poster)

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