| 2026 | ACL | Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet. | Milan Miletic, Julie Kallini, Ekaterina Shutova |
| 2026 | EACL | Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning. | Sara Rajaee, Rochelle Choenni, Ekaterina Shutova, Christof Monz |
| 2025 | CVPR | Cross-modal Information Flow in Multimodal Large Language Models. | Zhi Zhang, Srishti Yadav, Fengze Han, Ekaterina Shutova |
| 2025 | EMNLP | NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning. | Zhi Zhang, Yixian Shen, Congfeng Cao, Ekaterina Shutova |
| 2025 | NAACL | Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning. | Joy Crosbie, Ekaterina Shutova |
| 2025 | NAACL | Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models. | Srishti Yadav, Zhi Zhang, Daniel Hershcovich, Ekaterina Shutova |
| 2024 | ACL | The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. | Rochelle Choenni, Anne Lauscher, Ekaterina Shutova |
| 2024 | ACL | Are LLMs classical or nonmonotonic reasoners? Lessons from generics. | Alina Leidinger, Robert van Rooij, Ekaterina Shutova |
| 2024 | ACL | Metaphor Understanding Challenge Dataset for LLMs. | Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova |
| 2024 | CVPR | Gradient-based Parameter Selection for Efficient Fine-Tuning. | Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang |
| 2024 | NAACL | Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. | Rochelle Choenni, Ekaterina Shutova, Dan Garrette |
| 2024 | NAACL | A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. | Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova |
| 2023 | ACL | 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 |
| 2023 | EACL | K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification. | Niels van der Heijden, Ekaterina Shutova, Helen Yannakoudakis |
| 2023 | EACL | Paper Bullets: Modeling Propaganda with the Help of Metaphor. | Daniel Baleato Rodrguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova |
| 2023 | EACL | CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. | Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova |
| 2023 | EMNLP | How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. | Rochelle Choenni, Dan Garrette, Ekaterina Shutova |
| 2023 | EMNLP | The language of prompting: What linguistic properties make a prompt successful? | Alina Leidinger, Robert van Rooij, Ekaterina Shutova |
| 2023 | EMNLP | Probing LLMs for Joint Encoding of Linguistic Categories. | Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati, Alina Leidinger, Ekaterina Shutova |
| 2022 | ACL | 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 |
| 2022 | EMNLP | Scientific and Creative Analogies in Pretrained Language Models. | Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova |
| 2021 | ACL | Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. | Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova |
| 2021 | ACL | Ruddit: Norms of Offensiveness for English Reddit Comments. | Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova |
| 2021 | CHI | MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. | Vesna G. Djokic, Ekaterina Shutova, Rebecca Fiebrink |
| 2021 | CogSci | Episodic memory demands modulate novel metaphor use during event narration. | Vesna G. Djokic, Ekaterina Shutova, Verna Dankers |
| 2021 | EACL | Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions. | Pere-Llus Huguet Cabot, David Abadi, Agneta Fischer, Ekaterina Shutova |
| 2021 | EACL | Multilingual and cross-lingual document classification: A meta-learning approach. | Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova |
| 2021 | EMNLP | Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? | Rochelle Choenni, Ekaterina Shutova, Robert van Rooij |
| 2021 | EMNLP | Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. | Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova |
| 2021 | ICWSM | How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. | Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova |
| 2021 | NAACL | Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective. | Xiaoyu Tong, Ekaterina Shutova, Martha Lewis |
| 2020 | AAAI | A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. | Niels van der Heijden, Samira Abnar, Ekaterina Shutova |
| 2020 | AAAI | Modelling Form-Meaning Systematicity with Linguistic and Visual Features. | Arie Soeteman, E. Dario Gutirrez, Elia Bruni, Ekaterina Shutova |
| 2020 | ACL | Joint Modelling of Emotion and Abusive Language Detection. | Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova |
| 2020 | CogSci | Modelling Brain Activity Associated with Metaphor Processing with Distributional Semantic Models. | Vesna Djokic, Ekaterina Shutova |
| 2020 | EMNLP | The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. | Pere-Llus Huguet Cabot, Verna Dankers, David Abadi, Agneta Fischer, Ekaterina Shutova |
| 2020 | EMNLP | Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. | Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova |
| 2019 | ACL | Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models. | Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova |
| 2019 | CogSci | Decoding Affirmative and Negated Action-Related Sentences in the Brain with Distributional Semantic Models. | Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova |
| 2019 | EMNLP | Modelling the interplay of metaphor and emotion through multitask learning. | Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova |
| 2019 | NAACL | Abusive Language Detection with Graph Convolutional Networks. | Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova |
| 2019 | NAACL | Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. | Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova |
| 2018 | COLING | Author Profiling for Abuse Detection. | Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova |
| 2017 | CogSci | Metaphor congruent image schemas shape evaluative judgment: a cross-linguistic study of metaphors for economic change. | Patricia Lichtenstein, Ekaterina Shutova |
| 2017 | EACL | Modelling metaphor with attribute-based semantics. | Luana Bulat, Stephen Clark, Ekaterina Shutova |
| 2017 | EMNLP | Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain. | Luana Bulat, Stephen Clark, Ekaterina Shutova |
| 2017 | EMNLP | Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection. | Marek Rei, Luana Bulat, Douwe Kiela, Ekaterina Shutova |
| 2016 | ACL | Literal and Metaphorical Senses in Compositional Distributional Semantic Models. | E. Dario Gutirrez, Ekaterina Shutova, Tyler Marghetis, Benjamin Bergen |
| 2016 | ACL | Semantic classifications for detection of verb metaphors. | Beata Beigman Klebanov, Chee Wee Leong, E. Dario Gutirrez, Ekaterina Shutova, Michael Flor |
| 2016 | ACL | Cross-Lingual Lexico-Semantic Transfer in Language Learning. | Ekaterina Kochmar, Ekaterina Shutova |
| 2016 | NAACL | Black Holes and White Rabbits: Metaphor Identification with Visual Features. | Ekaterina Shutova, Douwe Kiela, Jean Maillard |
| 2015 | ACL | Perceptually Grounded Selectional Preferences. | Ekaterina Shutova, Niket Tandon, Gerard de Melo |
| 2013 | NAACL | Unsupervised Metaphor Identification Using Hierarchical Graph Factorization Clustering. | Ekaterina Shutova, Lin Sun |
| 2012 | COLING | Unsupervised Metaphor Paraphrasing using a Vector Space Model. | Ekaterina Shutova, Tim Van de Cruys, Anna Korhonen |
| 2012 | FC | Linguistic Properties of Multi-word Passphrases. | Joseph Bonneau, Ekaterina Shutova |
| 2010 | ACL | Models of Metaphor in NLP. | Ekaterina Shutova |
| 2010 | COLING | Metaphor Identification Using Verb and Noun Clustering. | Ekaterina Shutova, Lin Sun, Anna Korhonen |
| 2010 | LREC | Metaphor Corpus Annotated for Source - Target Domain Mappings. | Ekaterina Shutova, Simone Teufel |
| 2010 | NAACL | Automatic Metaphor Interpretation as a Paraphrasing Task. | Ekaterina Shutova |
| 2009 | ACL | Sense-based Interpretation of Logical Metonymy Using a Statistical Method. | Ekaterina Shutova |