| 2026 | AAAI | Control Illusion: The Failure of Instruction Hierarchies in Large Language Models. | Yilin Geng, Haonan Li, Honglin Mu, Xudong Han, Timothy Baldwin, Omri Abend, Eduard H. Hovy, Lea Frermann |
| 2026 | ACL | CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics. | Ming-Bin Chen, Jey Han Lau, Lea Frermann |
| 2026 | ACL | Article and Comment Frames Shape the Quality of Online Comments. | Matteo Guida, Yulia Otmakhova, Eduard H. Hovy, Lea Frermann |
| 2026 | ACL | Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning. | Yanbei Jiang, Amr Keleg, Ryandito Diandaru, Jey Han Lau, Lea Frermann, Biaoyan Fang, Fajri Koto |
| 2026 | ACL | Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames. | Yulia Otmakhova, Matteo Guida, Lea Frermann |
| 2025 | ACL | Narrative Media Framing in Political Discourse. | Yulia Otmakhova, Lea Frermann |
| 2025 | ACL | Moderation Matters: Measuring Conversational Moderation Impact in English as a Second Language Group Discussion. | Rena Wei Gao, Ming-Bin Chen, Lea Frermann, Jey Han Lau |
| 2025 | ACL | Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations. | Chaoyi Xiang, Chunhua Liu, Simon De Deyne, Lea Frermann |
| 2025 | CaiSE | Automated Business Process Analysis: An LLM-Based Approach to Value Assessment. | William De Michele, Abel Armas-Cervantes, Lea Frermann |
| 2025 | CogSci | Scientists & Women Scientists: Exploring Gender Biases in Institutional Category Systems. | Katie Warburton, Charles Kemp, Lea Frermann |
| 2025 | CogSci | Modelling compounding across languages with analogy and composition. | Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu |
| 2025 | COLING | Human Interest Framing across Cultures: A Case Study on Climate Change. | Gisela Vallejo, Christine de Kock, Timothy Baldwin, Lea Frermann |
| 2025 | NAACL | WHoW: A Cross-domain Approach for Analysing Conversation Moderation. | Ming-Bin Chen, Lea Frermann, Jey Han Lau |
| 2024 | ACL | Media Framing: A typology and Survey of Computational Approaches Across Disciplines. | Yulia Otmakhova, Shima Khanehzar, Lea Frermann |
| 2023 | ACL | Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. | Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak |
| 2023 | CogSci | Quantifying Bias in Library Classification Systems. | Katie Warburton, Charles Kemp, Yang Xu, Lea Frermann |
| 2023 | CogSci | Predicting strategy choice in word formation: A case study of reuse and compounding. | Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu |
| 2023 | EACL | A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. | Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend |
| 2023 | EACL | Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. | Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann |
| 2023 | EMNLP | More than Votes? Voting and Language based Partisanship in the US Supreme Court. | Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2023 | IJCNLP | It's not only What You Say, It's also Who It's Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom. | Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | CogSci | Word formation supports efficient communication: The case of compounds. | Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu |
| 2022 | EMNLP | FairLib: A Unified Framework for Assessing and Improving Fairness. | Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn |
| 2022 | IJCNLP | Systematic Evaluation of Predictive Fairness. | Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | IJCNLP | WAX: A New Dataset for Word Association eXplanations. | Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann |
| 2022 | IJCNLP | Does Representational Fairness Imply Empirical Fairness? | Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | NAACL | A Computational Acquisition Model for Multimodal Word Categorization. | Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann |
| 2022 | NAACL | Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. | Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn |
| 2022 | NAACL | Optimising Equal Opportunity Fairness in Model Training. | Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2021 | CogSci | Categorization in the Wild: Category and Feature Learning across Languages. | Lea Frermann, Mirella Lapata |
| 2021 | CoNLL | Commonsense Knowledge in Word Associations and ConceptNet. | Chunhua Liu, Trevor Cohn, Lea Frermann |
| 2021 | EACL | PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. | Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn |
| 2021 | EMNLP | Fairness-aware Class Imbalanced Learning. | Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann |
| 2021 | EMNLP | Evaluating Debiasing Techniques for Intersectional Biases. | Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann |
| 2021 | NAACL | Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. | Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann |
| 2020 | ACL | Screenplay Summarization Using Latent Narrative Structure. | Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata |
| 2019 | ACL | Inducing Document Structure for Aspect-based Summarization. | Lea Frermann, Alexandre Klementiev |
| 2019 | EMNLP | Partners in Crime: Multi-view Sequential Inference for Movie Understanding. | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen |
| 2018 | NAACL | Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing. | Maria Barrett, Ana Valeria Gonzlez-Garduo, Lea Frermann, Anders Sgaard |
| 2017 | EMNLP | Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. | Lea Frermann, Gyrgy Szarvas |
| 2015 | NAACL | A Bayesian Model for Joint Learning of Categories and their Features. | Lea Frermann, Mirella Lapata |
| 2014 | EACL | Incremental Bayesian Learning of Semantic Categories. | Lea Frermann, Mirella Lapata |
| 2014 | EACL | A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. | Lea Frermann, Ivan Titov, Manfred Pinkal |
| 2012 | ACL | Cross-lingual Parse Disambiguation based on Semantic Correspondence. | Lea Frermann, Francis Bond |