Ekaterina Shutova

Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet ACL 2026 Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning EACL 2026 An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks EMNLP 2025 Do large language models solve verbal analogies like children do? ACL 2025 Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models NAACL 2025 NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025 Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning NAACL 2025 Cross-modal Information Flow in Multimodal Large Language Models CVPR 2025 Do large language models solve verbal analogies like children do? CONLL 2025 Metaphor Understanding Challenge Dataset for LLMs ACL 2024 Are LLMs classical or nonmonotonic reasoners? Lessons from generics ACL 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection NAACL 2024 Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks NAACL 2024 Learning New Tasks from a Few Examples with Soft-Label Prototypes ACL 2024 The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning ACL 2024 Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023 What’s the Meaning of Superhuman Performance in Today’s NLU? ACL 2023 K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification EACL 2023 Paper Bullets: Modeling Propaganda with the Help of Metaphor EACL 2023 CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension EACL 2023 The language of prompting: What linguistic properties make a prompt successful? EMNLP 2023 How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning EMNLP 2023 Scientific and Creative Analogies in Pretrained Language Models EMNLP 2022 Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing ACL 2022 Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? EMNLP 2021 Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions EACL 2021 Multilingual and cross-lingual document classification: A meta-learning approach EACL 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation IJCNLP 2021 Ruddit: Norms of Offensiveness for English Reddit Comments IJCNLP 2021 Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective NAACL 2021 Ruddit: Norms of Offensiveness for English Reddit Comments ACL 2021 Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability EMNLP 2021 Modelling Form-Meaning Systematicity with Linguistic and Visual Features AAAI 2020 A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings AAAI 2020 Joint Modelling of Emotion and Abusive Language Detection ACL 2020 Being neighbourly: Neural metaphor identification in discourse ACL 2020 The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse EMNLP 2020 Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020 Learning Outside the Box: Discourse-level Features Improve Metaphor Identification NAACL 2019 Modelling the interplay of metaphor and emotion through multitask learning IJCNLP 2019 Modelling the interplay of metaphor and emotion through multitask learning EMNLP 2019 Proceedings of the 13th International Workshop on Semantic Evaluation SEMEVAL 2019 Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models ACL 2019 CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets SEMEVAL 2019 Abusive Language Detection with Graph Convolutional Networks NAACL 2019 Proceedings of the Workshop on Figurative Language Processing NAACL 2018 Neural Character-based Composition Models for Abuse Detection EMNLP 2018 Author Profiling for Abuse Detection COLING 2018 A Report on the 2018 VUA Metaphor Detection Shared Task NAACL 2018 Proceedings of the 12th International Workshop on Semantic Evaluation SEMEVAL 2018 Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain EMNLP 2017 Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection EMNLP 2017 Modelling metaphor with attribute-based semantics EACL 2017 Semantic classifications for detection of verb metaphors ACL 2016 Black Holes and White Rabbits: Metaphor Identification with Visual Features NAACL 2016 Cross-Lingual Lexico-Semantic Transfer in Language Learning ACL 2016 Literal and Metaphorical Senses in Compositional Distributional Semantic Models ACL 2016 SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter SEMEVAL 2015 Perceptually Grounded Selectional Preferences IJCNLP 2015 Perceptually Grounded Selectional Preferences ACL 2015 Unsupervised Metaphor Identification Using Hierarchical Graph Factorization Clustering NAACL 2013 Unsupervised Metaphor Paraphrasing using a Vector Space Model COLING 2012 Models of Metaphor in NLP ACL 2010 Metaphor Identification Using Verb and Noun Clustering COLING 2010 Automatic Metaphor Interpretation as a Paraphrasing Task NAACL 2010 Sense-based Interpretation of Logical Metonymy Using a Statistical Method IJCNLP 2009 Sense-based Interpretation of Logical Metonymy Using a Statistical Method ACL 2009