Sense-based Interpretation of Logical Metonymy Using a Statistical Method. - Ekaterina Shutova (ACL/IJCNLP (Student Research Workshop), 2009)

Models of Metaphor in NLP. - Ekaterina Shutova (ACL, 2010)

Metaphor Identification Using Verb and Noun Clustering. - Ekaterina Shutova; Lin Sun 003; Anna Korhonen (COLING, 2010)

Metaphor Corpus Annotated for Source - Target Domain Mappings. - Ekaterina Shutova; Simone Teufel (LREC, 2010)

Automatic Metaphor Interpretation as a Paraphrasing Task. - Ekaterina Shutova (HLT-NAACL, 2010)

Computational approaches to figurative language. - Ekaterina Shutova (2011)

Unsupervised Metaphor Paraphrasing using a Vector Space Model. - Ekaterina Shutova; Tim Van de Cruys; Anna Korhonen (COLING (Posters), 2012)

Linguistic Properties of Multi-word Passphrases. - Joseph Bonneau; Ekaterina Shutova (Financial Cryptography Workshops, 2012)

Unsupervised Metaphor Identification Using Hierarchical Graph Factorization Clustering. - Ekaterina Shutova; Lin Sun 003 (HLT-NAACL, 2013)

Metaphor Identification as Interpretation. - Ekaterina Shutova (*SEM@NAACL-HLT, 2013)

Statistical Metaphor Processing. - Ekaterina Shutova; Simone Teufel; Anna Korhonen (Comput. Linguistics, 2013)

Conceptual metaphor theory meets the data: a corpus-based human annotation study. - Ekaterina Shutova; Barry Devereux; Anna Korhonen (Lang. Resour. Evaluation, 2013)

A computational model of logical metonymy. - Ekaterina Shutova; Jakub Kaplan; Simone Teufel; Anna Korhonen (ACM Trans. Speech Lang. Process., 2013)

Perceptually Grounded Selectional Preferences. - Ekaterina Shutova; Niket Tandon; Gerard de Melo (ACL (1), 2015)

SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter. - Aniruddha Ghosh; Guofu Li; Tony Veale; Paolo Rosso; Ekaterina Shutova; John A. Barnden; Antonio Reyes (SemEval@NAACL-HLT, 2015)

Design and Evaluation of Metaphor Processing Systems. - Ekaterina Shutova (Comput. Linguistics, 2015)

Literal and Metaphorical Senses in Compositional Distributional Semantic Models. - E. Dario Gutiérrez; Ekaterina Shutova; Tyler Marghetis; Benjamin Bergen 001 (ACL (1), 2016)

Semantic classifications for detection of verb metaphors. - Beata Beigman Klebanov; Chee Wee Leong; E. Dario Gutiérrez; Ekaterina Shutova; Michael Flor (ACL (2), 2016)

Cross-Lingual Lexico-Semantic Transfer in Language Learning. - Ekaterina Kochmar; Ekaterina Shutova (ACL (1), 2016)

Black Holes and White Rabbits: Metaphor Identification with Visual Features. - Ekaterina Shutova; Douwe Kiela; Jean Maillard (HLT-NAACL, 2016)

Metaphor as a Medium for Emotion: An Empirical Study. - Saif M. Mohammad; Ekaterina Shutova; Peter D. Turney (*SEM@ACL, 2016)

Psychologically Motivated Text Mining. - Ekaterina Shutova; Patricia Lichtenstein (CoRR, 2016)

Detecting Cross-cultural Differences Using a Multilingual Topic Model. - E. Dario Gutiérrez; Ekaterina Shutova; Patricia Lichtenstein; Gerard de Melo; Luca Gilardi (Trans. Assoc. Comput. Linguistics, 2016)

Metaphor: A Computational Perspective - Tony Veale; Ekaterina Shutova; Beata Beigman Klebanov (Morgan & Claypool Publishers, 2016)

Modelling semantic acquisition in second language learning. - Ekaterina Kochmar; Ekaterina Shutova (BEA@EMNLP, 2017)

Metaphor congruent image schemas shape evaluative judgment: a cross-linguistic study of metaphors for economic change. - Patricia Lichtenstein; Ekaterina Shutova (CogSci, 2017)

Modelling metaphor with attribute-based semantics. - Luana Bulat; Stephen Clark; Ekaterina Shutova (EACL (2), 2017)

Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain. - Luana Bulat; Stephen Clark; Ekaterina Shutova (EMNLP, 2017)

Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection. - Marek Rei; Luana Bulat; Douwe Kiela; Ekaterina Shutova (EMNLP, 2017)

Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions. - Ekaterina Shutova; Andreas Wundsam; Helen Yannakoudakis (*SEM, 2017)

Multilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised Learning. - Ekaterina Shutova; Lin Sun 003; E. Dario Gutiérrez; Patricia Lichtenstein; Srini Narayanan (Comput. Linguistics, 2017)

Neural Character-based Composition Models for Abuse Detection. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (ALW, 2018)

A Report on the 2018 VUA Metaphor Detection Shared Task. - Chee Wee Leong; Beata Beigman Klebanov; Ekaterina Shutova (Fig-Lang@NAACL-HLT, 2018)

Author Profiling for Abuse Detection. - Pushkar Mishra; Marco Del Tredici; Helen Yannakoudakis; Ekaterina Shutova (COLING, 2018)

Metaphor: A Computational Perspective Tony Veale, Ekaterina Shutova, and Beata Beigman Klebanov (University College Dublin, University of Cambridge, Educational Testing Service)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 31), 2016, xi+148 pp; paperback, ISBN 9781627058506, $55.00; ebook, ISBN 9781627058513; doi: 10.2200/S00694ED1V01Y201601HLT031. - Tony Veale; Ekaterina Shutova; Beata Beigman Klebanov; Graeme Hirst; Carlo Strapparava (Comput. Linguistics, 2018)

Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models. - Vesna Djokic; Jean Maillard; Luana Bulat; Ekaterina Shutova (ACL (1), 2019)

Decoding Affirmative and Negated Action-Related Sentences in the Brain with Distributional Semantic Models. - Vesna Djokic; Jean Maillard; Luana Bulat; Ekaterina Shutova (CogSci, 2019)

Modelling the interplay of metaphor and emotion through multitask learning. - Verna Dankers; Marek Rei; Martha Lewis; Ekaterina Shutova (EMNLP/IJCNLP (1), 2019)

Abusive Language Detection with Graph Convolutional Networks. - Pushkar Mishra; Marco Del Tredici; Helen Yannakoudakis; Ekaterina Shutova (NAACL-HLT (1), 2019)

Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. - Jesse Mu; Helen Yannakoudakis; Ekaterina Shutova (NAACL-HLT (1), 2019)

CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets. - Guy Aglionby; Christopher Davis; Pushkar Mishra; Andrew Caines; Helen Yannakoudakis; Marek Rei; Ekaterina Shutova; Paula Buttery (SemEval@NAACL-HLT, 2019)

Deconstructing multimodality: visual properties and visual context in human semantic processing. - Christopher Davis; Luana Bulat; Anita Lilla Vero; Ekaterina Shutova (*SEM@NAACL-HLT, 2019)

Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. - Edoardo Maria Ponti; Helen O'Horan; Yevgeni Berzak; Ivan Vulic; Roi Reichart; Thierry Poibeau; Ekaterina Shutova; Anna Korhonen (Comput. Linguistics, 2019)

Author Profiling for Hate Speech Detection. - Pushkar Mishra; Marco Del Tredici; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2019)

Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2019)

A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. - Niels van der Heijden; Samira Abnar; Ekaterina Shutova (AAAI, 2020)

Modelling Form-Meaning Systematicity with Linguistic and Visual Features. - Arie Soeteman; E. Dario Gutiérrez; Elia Bruni; Ekaterina Shutova (AAAI, 2020)

Being neighbourly: Neural metaphor identification in discourse. - Verna Dankers; Karan Malhotra; Gaurav Kudva; Volodymyr Medentsiy; Ekaterina Shutova (Fig-Lang@ACL, 2020)

Joint Modelling of Emotion and Abusive Language Detection. - Santhosh Rajamanickam; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (ACL, 2020)

Modelling Brain Activity Associated with Metaphor Processing with Distributional Semantic Models. - Vesna Djokic; Ekaterina Shutova (CogSci, 2020)

The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. - Pere-Lluís Huguet Cabot; Verna Dankers; David Abadi; Agneta Fischer; Ekaterina Shutova (EMNLP (Findings), 2020)

Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. - Nithin Holla; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (EMNLP (Findings), 2020)

The Hateful Memes Challenge: Competition Report. - Douwe Kiela; Hamed Firooz; Aravind Mohan; Vedanuj Goswami; Amanpreet Singh; Casey A. Fitzpatrick; Peter Bull; Greg Lipstein; Tony Nelli; Ron Zhu; Niklas Muennighoff; Riza Velioglu; et al. (NeurIPS (Competition and Demos), 2020)

Graph-based Modeling of Online Communities for Fake News Detection. - Shantanu Chandra; Pushkar Mishra; Helen Yannakoudakis; Madhav Nimishakavi; Marzieh Saeidi; Ekaterina Shutova (CoRR, 2020)

Meta-Learning with Sparse Experience Replay for Lifelong Language Learning. - Nithin Holla; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2020)

What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties. - Rochelle Choenni; Ekaterina Shutova (CoRR, 2020)

Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models. - Rochelle Choenni; Ekaterina Shutova (CoRR, 2020)

A Multimodal Framework for the Detection of Hateful Memes. - Phillip Lippe; Nithin Holla; Shantanu Chandra; Santhosh Rajamanickam; Georgios Antoniou; Ekaterina Shutova; Helen Yannakoudakis (CoRR, 2020)

Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension using Distributional Semantic Models. - Vesna Djokic; Jean Maillard; Luana Bulat; Ekaterina Shutova (Trans. Assoc. Comput. Linguistics, 2020)

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. - Ying-Jun Du; Nithin Holla; Xiantong Zhen; Cees Snoek; Ekaterina Shutova (ACL/IJCNLP (1), 2021)

Ruddit: Norms of Offensiveness for English Reddit Comments. - Rishav Hada; Sohi Sudhir; Pushkar Mishra; Helen Yannakoudakis; Saif M. Mohammad; Ekaterina Shutova (ACL/IJCNLP (1), 2021)

MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. - Vesna G. Djokic; Ekaterina Shutova; Rebecca Fiebrink (CHI Extended Abstracts, 2021)

Episodic memory demands modulate novel metaphor use during event narration. - Vesna G. Djokic; Ekaterina Shutova; Verna Dankers (CogSci, 2021)

Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions. - Pere-Lluís Huguet Cabot; David Abadi; Agneta Fischer; Ekaterina Shutova (EACL, 2021)

Multilingual and cross-lingual document classification: A meta-learning approach. - Niels van der Heijden; Helen Yannakoudakis; Pushkar Mishra; Ekaterina Shutova (EACL, 2021)

Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? - Rochelle Choenni; Ekaterina Shutova; Robert van Rooij (EMNLP (1), 2021)

Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (EMNLP (Findings), 2021)

How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. - Vinodkumar Prabhakaran; Marek Rei; Ekaterina Shutova (ICWSM, 2021)

Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective. - Xiaoyu Tong; Ekaterina Shutova; Martha Lewis (NAACL-HLT, 2021)

Towards a robust experimental framework and benchmark for lifelong language learning. - Aman Hussain; Nithin Holla; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (NeurIPS Datasets and Benchmarks, 2021)

The User behind the Abuse: A Position on Ethics and Explainability. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2021)

Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. - Anna Langedijk; Verna Dankers; Phillip Lippe; Sander Bos; Bryan Cardenas Guevara; Helen Yannakoudakis; Ekaterina Shutova (ACL (1), 2022)

Scientific and Creative Analogies in Pretrained Language Models. - Tamara Czinczoll; Helen Yannakoudakis; Pushkar Mishra; Ekaterina Shutova (EMNLP (Findings), 2022)

Investigating Language Relationships in Multilingual Sentence Encoders Through the Lens of Linguistic Typology. - Rochelle Choenni; Ekaterina Shutova (Comput. Linguistics, 2022)

Learning New Tasks from a Few Examples with Soft-Label Prototypes. - Avyav Kumar Singh; Ekaterina Shutova; Helen Yannakoudakis (CoRR, 2022)

Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (CoRR, 2022)

What's the Meaning of Superhuman Performance in Today's NLU? - Simone Tedeschi; Johan Bos; Thierry Declerck; Jan Hajic; Daniel Hershcovich; Eduard H. Hovy; Alexander Koller; Simon Krek; Steven Schockaert; Rico Sennrich; Ekaterina Shutova; Roberto Navigli (ACL (1), 2023)

K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification. - Niels van der Heijden; Ekaterina Shutova; Helen Yannakoudakis (EACL, 2023)

Paper Bullets: Modeling Propaganda with the Help of Metaphor. - Daniel Baleato Rodríguez; Verna Dankers; Preslav Nakov; Ekaterina Shutova (EACL (Findings), 2023)

CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. - Zhi Zhang 009; Helen Yannakoudakis; Xiantong Zhen; Ekaterina Shutova (EACL (Findings), 2023)

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (EMNLP, 2023)

The language of prompting: What linguistic properties make a prompt successful? - Alina Leidinger; Robert van Rooij; Ekaterina Shutova (EMNLP (Findings), 2023)

Probing LLMs for Joint Encoding of Linguistic Categories. - Giulio Starace; Konstantinos Papakostas; Rochelle Choenni; Apostolos Panagiotopoulos; Matteo Rosati; Alina Leidinger; Ekaterina Shutova (EMNLP (Findings), 2023)

FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs. - Niels van der Heijden; Ekaterina Shutova; Helen Yannakoudakis (CoRR, 2023)

How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (CoRR, 2023)

Do large language models solve verbal analogies like children do? - Claire E. Stevenson; Mathilde ter Veen; Rochelle Choenni; Han L. J. van der Maas; Ekaterina Shutova (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (Comput. Linguistics, 2023)

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. - Rochelle Choenni; Anne Lauscher; Ekaterina Shutova (ACL (1), 2024)

Are LLMs classical or nonmonotonic reasoners? Lessons from generics. - Alina Leidinger; Robert van Rooij; Ekaterina Shutova (ACL (Short Papers), 2024)

Metaphor Understanding Challenge Dataset for LLMs. - Xiaoyu Tong; Rochelle Choenni; Martha Lewis; Ekaterina Shutova (ACL (1), 2024)

Gradient-based Parameter Selection for Efficient Fine-Tuning. - Zhi Zhang 009; Qizhe Zhang; Zijun Gao; Renrui Zhang; Ekaterina Shutova; Shiji Zhou; Shanghang Zhang (CVPR, 2024)

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. - Rochelle Choenni; Ekaterina Shutova; Dan Garrette (NAACL-HLT (Findings), 2024)

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. - Ivo Verhoeven; Pushkar Mishra; Rahel Beloch; Helen Yannakoudakis; Ekaterina Shutova (NAACL-HLT (Findings), 2024)

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning. - Rochelle Choenni; Anne Lauscher; Ekaterina Shutova (CoRR, 2024)

On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? - Rochelle Choenni; Sara Rajaee; Christof Monz; Ekaterina Shutova (CoRR, 2024)

A framework for annotating and modelling intentions behind metaphor use. - Gianluca Michelli; Xiaoyu Tong; Ekaterina Shutova (CoRR, 2024)

Density Matrices for Metaphor Understanding. - Jay Owers; Ekaterina Shutova; Martha Lewis (QPL, 2024)

Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning. - Rochelle Choenni; Ekaterina Shutova (CoRR, 2024)

Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalisation of Misinformation Detection Models. - Ivo Verhoeven; Pushkar Mishra; Ekaterina Shutova (CoRR, 2024)

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. - Zhi Zhang 009; Jiayi Shen; Congfeng Cao; Gaole Dai; Shiji Zhou; Qizhe Zhang; Shanghang Zhang; Ekaterina Shutova (CoRR, 2024)

Cross-modal Information Flow in Multimodal Large Language Models. - Zhi Zhang 009; Srishti Yadav; Fengze Han; Ekaterina Shutova (CVPR, 2025)

Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning. - Joy Crosbie; Ekaterina Shutova (NAACL (Findings), 2025)

Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models. - Srishti Yadav; Zhi Zhang 009; Daniel Hershcovich; Ekaterina Shutova (NAACL (Findings), 2025)

Hummus: A Dataset of Humorous Multimodal Metaphor Use. - Xiaoyu Tong; Zhi Zhang 009; Martha Lewis; Ekaterina Shutova (CoRR, 2025)

Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory. - Srishti Yadav; Lauren Tilton; Maria Antoniak; Taylor Arnold; Jiaang Li 002; Siddhesh Pawar; Antonia Karamolegkou; Stella Frank; Zhaochong An; Negar Rostamzadeh; Daniel Hershcovich; Serge J. Belongie; et al. (CoRR, 2025)