Smaranda Muresan

Orcid: 0000-0003-4532-0182

Affiliations:
  • Columbia University, New York, NY, USA
  • Rutgers University, New Brunswick, NJ, USA (former)


According to our database1, Smaranda Muresan authored at least 114 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution.
CoRR, 2024

"Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline.
CoRR, 2024

V-FLUTE: Visual Figurative Language Understanding with Textual Explanations.
CoRR, 2024

Navigating the Landscape of Hint Generation Research: From the Past to the Future.
CoRR, 2024

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Art or Artifice? Large Language Models and the False Promise of Creativity.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers.
Proceedings of the 16th Conference on Creativity & Cognition, 2024

ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context.
Trans. Assoc. Comput. Linguistics, 2023

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers.
CoRR, 2023

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment.
CoRR, 2023

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Keynote Lecture: Human-centric Natural Language Processing for Social Good and Responsible Computing.
Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning to Follow Object-Centric Image Editing Instructions Faithfully.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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, 2023

NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022
Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study.
IEEE Trans. Educ., 2022

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly.
CoRR, 2022

FLUTE: Figurative Language Understanding and Textual Explanations.
CoRR, 2022

Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting.
CoRR, 2022

Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

BeSt: The Belief and Sentiment Corpus.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Unsupervised Morphological Analysis of Polysynthetic Languages.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Fine-tuned Language Models are Continual Learners.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FLUTE: Figurative Language Understanding through Textual Explanations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CONSISTENT: Open-Ended Question Generation From News Articles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Affective Idiosyncratic Responses to Music.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multitask Instruction-based Prompting for Fallacy Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content.
CoRR, 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, 2021

Emotion-Infused Models for Explainable Psychological Stress Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ENTRUST: Argument Reframing with Language Models and Entailment.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Domain and Task-Informed Sample Selection for Cross-Domain Target-based Sentiment Analysis.
Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Don't Go Far Off: An Empirical Study on Neural Poetry Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Metaphor Generation with Conceptual Mappings.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Figurative Language in Recognizing Textual Entailment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Generating similes like a Pro: A Style Transfer Approach for Simile Generation.
CoRR, 2020

MultiSeg: Parallel Data and Subword Information for Learning Bilingual Embeddings in Low Resource Scenarios.
Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages and Collaboration and Computing for Under-Resourced Languages, 2020

MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Fact vs. Opinion: the Role of Argumentation Features in News Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Report on the 2020 Sarcasm Detection Shared Task.
Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity.
CoRR, 2019

Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels.
CoRR, 2019

Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Surprise Languages: Rapid-Response Cross-Language IR.
Proceedings of the 9th International Workshop on Evaluating Information Access co-located with the 14th NTCIR Conference on the Evaluation of Information Access Technologies (NTCIR 2019), 2019

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018
ChangeMyView Through Concessions: Do Concessions Increase Persuasion?
CoRR, 2018

Sarcasm Analysis Using Conversation Context.
Comput. Linguistics, 2018

A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

"With 1 Follower I Must Be AWESOME : P." Exploring the Role of Irony Markers in Irony Recognition.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Proceedings of the First Workshop on Fact Extraction and VERification, 2018

Where is Your Evidence: Improving Fact-checking by Justification Modeling.
Proceedings of the First Workshop on Fact Extraction and VERification, 2018

'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Preface: Special Issue on Multidisciplinary Approaches to AI and Education for Reading and Writing.
Int. J. Artif. Intell. Educ., 2017

The Columbia-GWU System at the 2017 TAC KBP BeSt Evaluation.
Proceedings of the 2017 Text Analysis Conference, 2017


The Role of Conversation Context for Sarcasm Detection in Online Interactions.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum.
Proceedings of the 4th Workshop on Argument Mining, 2017

2016
Identification of nonliteral language in social media: A case study on sarcasm.
J. Assoc. Inf. Sci. Technol., 2016

The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation.
Proceedings of the 2016 Text Analysis Conference, 2016

An Argument-Ontology for a Response-Centered Approach to Argumentation Mining.
Proceedings of the 16th Workshop on Computational Models of Natural Argument co-located with IJCAI 2016, 2016

Detecting Visually Relevant Sentences for Fine-Grained Classification.
Proceedings of the 5th Workshop on Vision and Language, 2016

Towards Feasible Guidelines for the Annotation of Argument Schemes.
Proceedings of the Third Workshop on Argument Mining, 2016

Coarse-grained Argumentation Features for Scoring Persuasive Essays.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Grounding English Commands to Reward Functions.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Mining a Written Values Affirmation Intervention to Identify the Unique Linguistic Features of Stigmatized Groups.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Surprisal as a Predictor of Essay Quality.
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

Annotating Multiparty Discourse: Challenges for Agreement Metrics.
Proceedings of the 8th Linguistic Annotation Workshop, 2014

Analyzing Argumentative Discourse Units in Online Interactions.
Proceedings of the First Workshop on Argument Mining, 2014

2013
Ontology-Based Semantic Interpretation via Grammar Constraints.
Proceedings of the New Trends of Research in Ontologies and Lexical Resources, 2013

Inducing terminologies from text: A case study for the consumer health domain.
J. Assoc. Inf. Sci. Technol., 2013

2012
Search Space Properties for Learning a Class of Constraint-based Grammars.
Proceedings of the 11th International Workshop on Tree Adjoining Grammars and Related Formalisms, 2012

Combining Social Cognitive Theories with Linguistic Features for Multi-genre Sentiment Analysis.
Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation, 2012

Relation Classification using Entity Sequence Kernels.
Proceedings of the COLING 2012, 2012

Computational Analysis of Referring Expressions in Narratives of Picture Books.
Proceedings of the Workshop on Computational Linguistics for Literature, 2012

2011
Network based models of cognitive and social dynamics of human languages.
Comput. Speech Lang., 2011

Learning for Deep Language Understanding.
Proceedings of the IJCAI 2011, 2011

Identifying Sarcasm in Twitter: A Closer Look.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
A Learnable Constraint-based Grammar Formalism.
Proceedings of the COLING 2010, 2010

Ontology-Based Semantic Interpretation as Grammar Rule Constraints.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2010

2008
Generalizing Word Lattice Translation.
Proceedings of the ACL 2008, 2008

2007
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning.
Proceedings of the ACL 2007, 2007

2004
Inducing Constraint-Based Grammars using a Domain Ontology.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Building a Terminological Database from Heterogeneous Definitional Sources.
Proceedings of the 2003 Annual National Conference on Digital Government Research, 2003

2002
Data Flow Coherence Constraints for Pruning the Search Space in ILP Tools.
Int. J. Artif. Intell. Tools, 2002

A Method for Automatically Building and Evaluating Dictionary Resources.
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002

2001
Evaluation of DEFINDER: a system to mine definitions from consumer-oriented medical text.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

PERSIVAL: personalized summarization over multimedia health-care information.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Data Flow Coherence Criteria in ILP Tools.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

Combining linguistic and machine learning techniques for email summarization.
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001

Evaluation of the DEFINDER system for fully automatic glossary construction.
Proceedings of the AMIA 2001, 2001

GIST-IT: Combining Linguistic and Machine Learning Techniques for Email Summarization.
Proceedings of the Workshop on Human Language Technology and Knowledge Management@ACL 2001, 2001

2000
DEFINDER: Rule-based Methods for the Extraction of Medical Terminology and their Associated Definitions from On-line Text.
Proceedings of the AMIA 2000, 2000


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