Publications
2024
Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang. 2024. Gradient-based Parameter Selection for Efficient Fine-Tuning. In Proceedings of CVPR 2024. Seattle, USA.
Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova. 2024. A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. In Findings of NAACL 2024. Mexico City, Mexico.
Rochelle Choenni, Ekaterina Shutova and Dan Garrette. 2024. Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. In Findings of NAACL 2024. Mexico City, Mexico.
Xiaoyu Tong, Rochelle Choenni, Martha Lewis and Ekaterina Shutova. 2024. Metaphor Understanding Challenge Dataset for LLMs. In Proceedings of ACL 2024. Bangkok, Thailand.
Alina Leidinger, Robert van Rooij and Ekaterina Shutova. 2024. Are LLMs classical or nonmonotonic reasoners? Lessons from generics. In Proceedings of ACL 2024. Bangkok, Thailand.
Rochelle Choenni, Anne Lauscher and Ekaterina Shutova. 2024. The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. In Proceedings of ACL 2024. Bangkok, Thailand.
Avyav Kumar Singh, Ekaterina Shutova and Helen Yannakoudakis. 2022. Learning New Tasks from a Few Examples with Soft-Label Prototypes. In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP 2024). Bangkok, Thailand.
Rochelle Choenni, Sara Rajaee, Christof Monz and Ekaterina Shutova. 2024. On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? ArXiv preprint: 2406.14267.
Rochelle Choenni and Ekaterina Shutova. 2024. Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning. ArXiv preprint: 2408.16482.
Joy Crosbie and Ekaterina Shutova. 2024. Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning. ArXiv preprint: 2407.07011.
Gianluca Michelli, Xiaoyu Tong and Ekaterina Shutova. 2024. A framework for annotating and modelling intentions behind metaphor use. ArXiv preprint: 2407.03952.
2023
Niels van der Heijden, Ekaterina Shutova and Helen Yannakoudakis. 2023. K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification. In Proceedings of EACL 2023. Dubrovnik, Croatia.
Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov and Ekaterina Shutova. 2023. Paper bullets: Modeling propaganda with the help of metaphor. In Findings of EACL 2023. Dubrovnik, Croatia.
Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen and Ekaterina Shutova. 2023. CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. In Findings of EACL 2023. Dubrovnik, Croatia.
Srivastava et al. 2023. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Transactions on Machine Learning Research.
Rochelle Choenni, Dan Garrette and Ekaterina Shutova. 2023. Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. Computational Linguistics.
Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova and Roberto Navigli. 2023. What's the Meaning of Superhuman Performance in Today's NLU? In Proceedings of ACL 2023. Outstanding Paper Award.
Rochelle Choenni, Dan Garrette and Ekaterina Shutova. 2023. How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning. In Proceedings of EMNLP 2023.
Alina Leidinger, Robert van Rooij and Ekaterina Shutova. 2023. The language of prompting: What linguistic properties make a prompt successful? In Findings of EMNLP 2023.
Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati, Alina Leidinger and Ekaterina Shutova. 2023. Probing LLMs for Joint Encoding of Linguistic Categories. In Findings of EMNLP 2023.
Claire E. Stevenson, Mathilde ter Veen, Rochelle Choenni, Han L. J. van der Maas, Ekaterina Shutova. 2023. Do large language models solve verbal analogies like children do? ArXiv preprint: arXiv:2310.20384.
2022
Rochelle Choenni and Ekaterina Shutova. 2022. Investigating language relationships in multilingual sentence encoders through the lens of linguistic typology. Computational Linguistics.
Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis and Ekaterina Shutova. 2022. Meta-learning for fast cross-lingual adaptation in dependency parsing. In Proceedings of ACL 2022, Dublin, Ireland.
Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra and Ekaterina Shutova. 2022. Scientific and Creative Analogies in Pretrained Language Models. In Findings of EMNLP 2022.
2021
Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra and Ekaterina Shutova. 2021. Multilingual and cross-lingual document classification: A meta-learning approach. In Proceedings of EACL 2021. Online.
Pere-Lluís Huguet Cabot, David Abadi, Agneta Fischer and Ekaterina Shutova. 2021. Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions. In Proceedings of EACL 2021. Online.
Xiaoyu Tong, Ekaterina Shutova and Martha Lewis. 2021. Recent advances in neural metaphor processing: A linguistic, cognitive, and social perspective. In Proceedings of NAACL-HLT 2021. Online.
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Casey Fitzpatrick, Peter Bull, Greg Lipstein, Tony Nelli, Ron Zhu, Niklas Muennighoff, Riza Velioglu, Jewgeni Rose, Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis, Vlad Sandulescu. 2021. The Hateful Memes Challenge: Competition Report. Journal of Machine Learning Research.
Vesna Djokic, Verna Dankers and Ekaterina Shutova. 2021. Episodic memory demands modulate novel metaphor use during event narration. In Proceedings of CogSci 2021. Online.
Vesna Djokic, Ekaterina Shutova and Rebecca Fiebrink. 2021. MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. In Proceedings of CHI 2021 (Interactivity Track). Online.
Vinodkumar Prabhakaran, Marek Rei and Ekaterina Shutova. 2021. How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2021). Online.
Yingjun Du, Nithin Holla, Xiantong Zhen, Cees Snoek and Ekaterina Shutova. 2021. Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. In Proceedings of ACL 2021. Online.
Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif Mohammad and Ekaterina Shutova. 2021. Ruddit: Norms of Offensiveness for English Reddit Comments. In Proceedings of ACL 2021. Online.
Aman Hussain, Nithin Holla, Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova. Towards a robust experimental framework and benchmark for lifelong language learning. In Proceedings of NeuroIPS 2021. Online.
Rochelle Choenni, Ekaterina Shutova and Robert van Rooij. 2021. Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? In Proceedings of EMNLP 2021.
Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova. 2021. Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. In Findings of EMNLP 2021.
2020
Arie Soeteman, Dario Gutierrez, Elia Bruni and Ekaterina Shutova. 2020. Modelling form-meaning systematicity with linguistic and visual features. In Proceedings of AAAI 2020. New York, USA.
Niels van der Heijden, Samira Abnar and Ekaterina Shutova. 2020. A comparison of architectures and pretraining methods for contextualized multilingual word embeddings. In Proceedings of AAAI 2020. New York, USA.
Vesna Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova. 2020. Decoding brain activity associated with literal and metaphoric sentence comprehension using distributional semantic models. Transactions of the Association for Computational Linguistics (TACL).
Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova. 2020. Joint Modelling of Emotion and Abusive Language Detection. In Proceedings of ACL 2020, Seattle, USA.
Vesna Djokic and Ekaterina Shutova. 2020. Modelling Brain Activity Associated with Metaphor Processing. In Proceedings of CogSci 2020. Toronto, Canada.
Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy and Ekaterina Shutova. 2020. Being neighbourly: Neural metaphor identification in discourse. In Proceedings of ACL 2020 Workshop on Figurative Language Processing. Seattle, USA.
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova. 2020. Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. In Findings of EMNLP 2020.
Pere-Lluis Huguet Cabot, Verna Dankers, David Abadi, Agneta Fischer and Ekaterina Shutova. 2020. The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. In Findings of EMNLP 2020.
Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis, Madhav Nimishakavi, Marzieh Saeidi, Ekaterina Shutova. 2020. Graph-based Modeling of Online Communities for Fake News Detection. In arXiv e-prints: 2008.06274.
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova. 2020. Meta-Learning with Sparse Experience Replay for Lifelong Language Learning. In arXiv e-prints: 2009.04891.
Rochelle Choenni and Ekaterina Shutova. 2020. What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties. In arXiv e-prints: 2009.12862.
Rochelle Choenni and Ekaterina Shutova. 2020. Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models. In arXiv e-prints: 2010.12825.
Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis. 2020. A Multimodal Framework for the Detection of Hateful Memes. In Proceedings of NeuroIPS 2020 Competition Track: The Hateful Memes Challenge.
2019
Edoardo Ponti, Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen. 2019. Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. Computational Linguistics, 45(3).
Jesse Mu, Helen Yannakoudakis and Ekaterina Shutova. 2019. Learning outside the box: Discourse-level features improve metaphor identification. In Proceedings of NAACL-HLT 2019. Minneapolis, USA.
Pushkar Mishra, Marco del Tredici, Helen Yannakoudakis and Ekaterina Shutova. 2019. Abusive language detection with graph convolutional networks. In Proceedings of NAACL-HLT 2019. Minneapolis, USA.
Christopher Davis, Luana Bulat, Anita Vero and Ekaterina Shutova. 2019. Deconstructing Multimodality: Visual Properties and Visual Context in Human Semantic Processing. In Proceedings of *SEM 2019. Minneapolis, USA.
Guy Aglionby, Christopher Davis, Pushkar Mishra, Andrew Caines, Helen Yannakoudakis, Marek Rei, Ekaterina Shutova and Paula Buttery. 2019. CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets. In Proceedings of SemEval 2019. Minneapolis, USA.
Vesna Gamez-Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova. 2019. Decoding Affirmative and Negated Action Sentences in the Brain with Distributional Semantic Models. In Proceedings of CogSci 2019. Montreal, Canada. (poster presented at CogSci, paper withdrawn to be published at ACL).
Vesna Gamez-Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova. 2019. Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models. In Proceedings of ACL 2019. Florence, Italy.
Verna Dankers, Marek Rei, Martha Lewis and Ekaterina Shutova. 2019. Modelling the interplay of metaphor and emotion through multitask learning. In Proceedings of EMNLP 2019. Hong Kong.
Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova. 2019. Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. In arXiv e-prints, abs/1908.06024.
Vesna Gamez-Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova. 2019. Decoding Affirmative and Negated Action Sentences in the Brain. In Proceedings of NeuroIPS 2019 Workshop on Context and Compositionality in Biological and Artificial Neural Systems. Vancouver, Canada.
2018
Christopher Davis, Luana Bulat, Anita Vero and Ekaterina Shutova. 2018. Modelling Visual Properties and Visual Context in Multimodal Semantics. In Proceedings of NIPS 2018 Workshop on Visually Grounded Interaction and Language. Montreal, Canada.
Pushkar Mishra, Marco del Tredici, Helen Yannakoudakis and Ekaterina Shutova. 2018. Author Profiling for Abuse Detection. In Proceedings of COLING 2018. Santa Fe, New Mexico, USA.
Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova. 2018. Neural Character-based Composition Models for Abuse Detection. In Proceedings of EMNLP 2018 Workshop on Abusive Language Online, Brussels, Belguim.
Ben Leong, Beata Beigman Klebanov and Ekaterina Shutova. 2018. A Report on the 2018 VUA Metaphor Detection Shared Task. In Proceedings of NAACL 2018 Workshop on Figurative Language Processing. New Orleans, Louisiana.
Marianna Apidianaki, Saif Mohammad, Jonathan May, Ekaterina Shutova, Marine Carpuat and Stephen Bethard (editors). 2018. Proceedings of SemEval 2018. New Orleans, Louisiana.
Ekaterina Shutova, Beata Beigman Klebanov, Smaranda Muresan, Patricia Lichtenstein and Ben Leong (editors). 2018. Proceedings of NAACL 2018 Workshop on Figurative Language Processing. New Orleans, Louisiana.
Barry Devereux, Ekaterina Shutova and Chu-Ren Huang (editors). 2018. Proceedings of the LREC 2018 Workshop on Linguistic and Neuro-Cognitive Resources (LiNCR). Miyazaki, Japan.
2017
Ekaterina Shutova, Lin Sun, Dario Gutierrez, Patricia Lichtenstein and Srini Narayanan. 2017. Multilingual Metaphor Processing: Experiments with Semi-supervised and Unsupervised Learning. Computational Linguistics, 43(1): 71-123.
Luana Bulat, Stephen Clark and Ekaterina Shutova. 2017. Modelling metaphor with attribute-based semantics. In Proceedings of EACL 2017, Valencia, Spain.
Patricia Lichtenstein and Ekaterina Shutova. 2017. Metaphor congruent image schemas shape evaluative judgment: a cross-linguistic study of metaphors for economic change. In Proceedings of CogSci 2017, London, UK
Ekaterina Shutova, Andreas Wundsam and Helen Yannakoudakis. 2017. Semantic frames and visual scenes: Learning semantic role inventories from image and video descriptions. In Proceedings of *SEM 2017, Vancouver, Canada.
Luana Bulat, Stephen Clark and Ekaterina Shutova. 2017. Speaking, Seeing, Understanding: Correlating semantics models with conceptual representation in the brain. In Proceedings of EMNLP 2017, Copenhagen, Denmark.
Marek Rei, Luana Bulat, Douwe Kiela and Ekaterina Shutova. 2017. Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection. In Proceedings of EMNLP 2017, Copenhagen, Denmark.
Ekaterina Kochmar and Ekaterina Shutova. 2017. Modelling semantic acquisition in second language learning. In Proceedings of EMNLP 2017 Workshop on Innovative Use of NLP for Building Educational Applications, Copenhagen, Denmark.
2016
Book! Tony Veale, Ekaterina Shutova and Beata Beigman Klebanov. 2016. Metaphor: A Computational Perspective. Synthesis Lectures on Human Language Technologies. Edited by Graeme Hirst. Morgan & Claypool, USA.
Ekaterina Shutova, Douwe Kiela and Jean Maillard. 2016. Black Holes and White Rabbits: Metaphor Identification with Visual Features. In Proceedings of NAACL-HLT 2016, San Diego, CA, 2016. Runner up for Best Paper Award
Dario Gutierrez, Ekaterina Shutova, Patricia Lichtenstein, Gerard de Melo and Luca Gilardi. 2016. Detecting Cross-cultural Differences Using a Multilingual Topic Model. Transactions of the Association for Computational Linguistics (TACL), 4: 47-60. Presented at ACL 2016.
Ekaterina Kochmar and Ekaterina Shutova. 2016. Cross-Lingual Lexico-Semantic Transfer in Language Learning. In Proceedings of ACL 2016, Berlin, Germany.
Dario Gutierrez, Ekaterina Shutova, Tyler Marghetis and Benjamin Bergen. 2016. Literal and Metaphorical Senses in Compositional Distributional Semantic Models. In Proceedings of ACL 2016, Berlin, Germany.
Beata Beigman Klebanov, Chee Wee Leong, Dario Gutierrez, Ekaterina Shutova and Michael Flor. 2016. Semantic classifications for detection of verb metaphors. In Proceedings of ACL 2016 (short papers), Berlin, Germany.
Saif Mohammad, Ekaterina Shutova and Peter Turney. 2016. Metaphor as a Medium for Emotion: An Empirical Study. In Proceedings of *SEM 2016, Berlin, Germany.
Ekaterina Shutova and Patricia Lichtenstein. 2016. Psychologically Motivated Text Mining. In arXiv e-prints, abs/1609.09019.
Beata Beigman Klebanov, Ekaterina Shutova and Patricia Lichtenstein (editors). 2016. Proceedings of NAACL 2016 Workshop on Metaphor in NLP. San Diego, CA.
2015
Ekaterina Shutova. 2015. Design and Evaluation of Metaphor Processing Systems. Computational Linguistics, 41(4): 579-623.
Ekaterina Shutova, Niket Tandon and Gerard de Melo 2015. Perceptually grounded selectional preferences. In Proceedings of ACL 2015, Beijing, China.
Ekaterina Shutova. 2015. Annotation of Linguistic and Conceptual Metaphor. In the Handbook of Linguistic Annotation. Edited by Nancy Ide and James Pustejovsky. Springer.
Aniruddha Ghosh, Guofu Li, Tony Veale, Paolo Rosso, Ekaterina Shutova, John Barnden, Antonio Reyes 2015. SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter. In Proceedings of SemEval 2015, Denver, CO.
Ekaterina Shutova, Beata Beigman Klebanov and Patricia Lichtenstein (editors) 2015. Proceedings of NAACL 2015 Workshop on Metaphor in NLP. Denver, CO.
2014
Ekaterina Shutova and Tony Veale. 2014. Computational Modelling of Metaphor. Tutorial notes. In Proceedings of EACL 2014, Gothenburg, Sweden.
Beata Beigman Klebanov, Ekaterina Shutova and Patricia Lichtenstein (editors) 2014. Proceedings of ACL 2014 Workshop on Metaphor in NLP. Baltimore, MD.
2013
Ekaterina Shutova, Simone Teufel and Anna Korhonen. 2013. Statistical Metaphor Processing, Computational Linguistics, 39(2).
Ekaterina Shutova. 2013. Metaphor Identification as Interpretation. In Proceedings of *SEM 2013, Atlanta, GA.
Ekaterina Shutova and Lin Sun. 2013. Unsupervised Metaphor Identification using Hierarchical Graph Factorization Clustering. In Proceedings of NAACL-HLT 2013, Atlanta, GA.
Ekaterina Shutova, Jakub Kaplan, Simone Teufel and Anna Korhonen, 2013. A Computational Model of Logical Metonymy, ACM Transactions on Speech and Language Processing (TSLP), 10(3).
Danushka Bollegala and Ekaterina Shutova. 2013. Metaphor Interpretation using Paraphrases Extracted from the Web, PLoS ONE 8(9): e74304. doi:10.1371/journal.pone.0074304
Ekaterina Shutova, Barry Devereux and Anna Korhonen. 2013. Conceptual Metaphor Theory Meets the Data: A Corpus-based Human Annotation Study. Language Resources and Evaluation, 47(2) , DOI 10.1007/s10579-013-9238-z.
Ekaterina Shutova, Beata Beigman Klebanov, Joel Tetrault and Zornitsa Kozareva (eds.) 2013. Proceedings of NAACL-HLT 2013 Workshop on Metaphor in NLP. Atlanta, GA.
2012
Ekaterina Shutova, Tim Van de Cruys and Anna Korhonen. 2012. Unsupervised Metaphor Paraphrasing Using a Vector Space Model, In Proceedings of COLING 2012, Mumbai, India.
Joseph Bonneau and Ekaterina Shutova. 2012. Linguistic properties of multi-word passphrases. USEC'12: Workshop on Usable Security, Kralendijk, Bonaire, The Netherlands. Featured in The Economist, March 24th 2012 Issue
2011
Ekaterina Shutova. 2011. Computational approaches to figurative language. PhD thesis, Computer Laboratory, University of Cambridge, UK.
2010
Ekaterina Shutova, Lin Sun and Anna Korhonen. 2010. Metaphor Identification Using Verb and Noun Clustering. In Proceedings of COLING 2010, Beijing, China.
Ekaterina Shutova. 2010. Models of Metaphor in NLP. In Proceedings of ACL 2010, Uppsala, Sweden.
Ekaterina Shutova and Simone Teufel. 2010. Metaphor Corpus Annotated for Source - Target Domain Mappings. In Proceedings of LREC 2010, Valetta, Malta.
Ekaterina Shutova. 2010. Automatic Metaphor Interpretation as a Paraphrasing Task. In Proceedings of NAACL 2010, Los Angeles, USA.
2009
Ekaterina Shutova and Simone Teufel. 2009. Logical Metonymy: Discovering Classes of Meanings. In Proceedings of the CogSci 2009 Workshop on Semantic Space Models. Amsterdam, Holland.
Ekaterina Shutova. 2009. Sense-based Interpretation of Logical Metonymy Using a Statistical Method. In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (Student Workshop), Singapore.