Cross-lingual Parse Disambiguation based on Semantic Correspondence. - Lea Frermann; Francis Bond (ACL (2), 2012)

Incremental Bayesian Learning of Semantic Categories. - Lea Frermann; Mirella Lapata (EACL, 2014)

A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. - Lea Frermann; Ivan Titov 001; Manfred Pinkal (EACL, 2014)

A Bayesian Model for Joint Learning of Categories and their Features. - Lea Frermann; Mirella Lapata (HLT-NAACL, 2015)

Incremental Bayesian Category Learning From Natural Language. - Lea Frermann; Mirella Lapata (Cogn. Sci., 2016)

A Bayesian Model of Diachronic Meaning Change. - Lea Frermann; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2016)

Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. - Lea Frermann; György Szarvas (EMNLP, 2017)

Prosodic Features from Large Corpora of Child-Directed Speech as Predictors of the Age of Acquisition of Words. - Lea Frermann; Michael C. Frank (CoRR, 2017)

Bayesian models of category acquisition and meaning development. - Lea Frermann (2017)

Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing. - Maria Barrett; Ana Valeria González-Garduño; Lea Frermann; Anders Søgaard (NAACL-HLT, 2018)

Whodunnit? Crime Drama as a Case for Natural Language Understanding. - Lea Frermann; Shay B. Cohen; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2018)

Book QA: Stories of Challenges and Opportunities. - Stefanos Angelidis; Lea Frermann; Diego Marcheggiani; Roi Blanco; Lluís Màrquez (MRQA@EMNLP, 2019)

Extractive NarrativeQA with Heuristic Pre-Training. - Lea Frermann (MRQA@EMNLP, 2019)

Inducing Document Structure for Aspect-based Summarization. - Lea Frermann; Alexandre Klementiev (ACL (1), 2019)

Partners in Crime: Multi-view Sequential Inference for Movie Understanding. - Nikos Papasarantopoulos; Lea Frermann; Mirella Lapata; Shay B. Cohen (EMNLP/IJCNLP (1), 2019)

Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages. - Lea Frermann; Mirella Lapata (CoRR, 2019)

BookQA: Stories of Challenges and Opportunities. - Stefanos Angelidis; Lea Frermann; Diego Marcheggiani; Roi Blanco; Lluís Màrquez (CoRR, 2019)

A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. - Lahari Poddar; György Szarvas; Lea Frermann (CoRR, 2019)

Screenplay Summarization Using Latent Narrative Structure. - Pinelopi Papalampidi; Frank Keller; Lea Frermann; Mirella Lapata (ACL, 2020)

Multi-modal Intent Classification for Assistive Robots with Large-scale Naturalistic Datasets. - Karun Varghese Mathew; Venkata S. Aditya Tarigoppula; Lea Frermann (ALTA, 2021)

Principled Analysis of Energy Discourse across Domains with Thesaurus-based Automatic Topic Labeling. - Thomas Scelsi; Alfonso Martinez Arranz; Lea Frermann (ALTA, 2021)

Categorization in the Wild: Category and Feature Learning across Languages. - Lea Frermann; Mirella Lapata (CogSci, 2021)

Commonsense Knowledge in Word Associations and ConceptNet. - Chunhua Liu; Trevor Cohn; Lea Frermann (CoNLL, 2021)

PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. - Kemal Kurniawan; Lea Frermann; Philip Schulz; Trevor Cohn (EACL, 2021)

Fairness-aware Class Imbalanced Learning. - Shivashankar Subramanian; Afshin Rahimi 001; Timothy Baldwin; Trevor Cohn; Lea Frermann (EMNLP (1), 2021)

Evaluating Debiasing Techniques for Intersectional Biases. - Shivashankar Subramanian; Xudong Han; Timothy Baldwin; Trevor Cohn; Lea Frermann (EMNLP (1), 2021)

Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. - Shima Khanehzar; Trevor Cohn; Gosia Mikolajczak; Andrew Turpin; Lea Frermann (NAACL-HLT, 2021)

PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. - Kemal Kurniawan; Lea Frermann; Philip Schulz; Trevor Cohn (SemEval@ACL/IJCNLP, 2021)

Contrastive Learning for Fair Representations. - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (CoRR, 2021)

Evaluating the Examiner: The Perils of Pearson Correlation for Validating Text Similarity Metrics. - Gisela Vallejo; Timothy Baldwin; Lea Frermann (ALTA, 2022)

Word formation supports efficient communication: The case of compounds. - Aotao Xu; Charles Kemp; Lea Frermann; Yang Xu 023 (CogSci, 2022)

FairLib: A Unified Framework for Assessing and Improving Fairness. - Xudong Han; Aili Shen; Yitong Li 002; Lea Frermann; Timothy Baldwin; Trevor Cohn (EMNLP (Demos), 2022)

Systematic Evaluation of Predictive Fairness. - Xudong Han; Aili Shen; Trevor Cohn; Timothy Baldwin; Lea Frermann (AACL/IJCNLP (1), 2022)

WAX: A New Dataset for Word Association eXplanations. - Chunhua Liu; Trevor Cohn; Simon De Deyne; Lea Frermann (AACL/IJCNLP (1), 2022)

Does Representational Fairness Imply Empirical Fairness? - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (AACL/IJCNLP (Findings), 2022)

A Computational Acquisition Model for Multimodal Word Categorization. - Uri Berger; Gabriel Stanovsky; Omri Abend; Lea Frermann (NAACL-HLT, 2022)

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. - Kemal Kurniawan; Lea Frermann; Philip Schulz; Trevor Cohn (NAACL-HLT, 2022)

Optimising Equal Opportunity Fairness in Model Training. - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (NAACL-HLT, 2022)

fairlib: A Unified Framework for Assessing and Improving Classification Fairness. - Xudong Han; Aili Shen; Yitong Li 002; Lea Frermann; Timothy Baldwin; Trevor Cohn (CoRR, 2022)

Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs. - Jinrui Yang; Sheilla Njoto; Marc Cheong; Leah Ruppanner; Lea Frermann (CoRR, 2022)

The uncivil empathy: Investigating the relation between empathy and toxicity in online mental health support forums. - Ming-Bin Chen; Jey Han Lau; Lea Frermann (ALTA, 2023)

Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. - Lea Frermann; Jiatong Li 003; Shima Khanehzar; Gosia Mikolajczak (ACL (1), 2023)

Quantifying Bias in Library Classification Systems. - Katie Warburton; Charles Kemp; Yang Xu 023; Lea Frermann (CogSci, 2023)

Predicting strategy choice in word formation: A case study of reuse and compounding. - Aotao Xu; Charles Kemp; Lea Frermann; Yang Xu 023 (CogSci, 2023)

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. - Uri Berger; Lea Frermann; Gabriel Stanovsky; Omri Abend (EACL (Findings), 2023)

Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. - Shima Khanehzar; Trevor Cohn; Gosia Mikolajczak; Lea Frermann (EACL, 2023)

More than Votes? Voting and Language based Partisanship in the US Supreme Court. - Biaoyan Fang; Trevor Cohn; Timothy Baldwin; Lea Frermann (EMNLP (Findings), 2023)

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 (IJCNLP (2), 2023)

Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. - Chunhua Liu; Trevor Cohn; Lea Frermann (*SEM@ACL, 2023)

ML-NLPEmot: Machine Learning-Natural Language Processing Event-Based Emotion Detection Proactive Framework Addressing Mental Health. - Leila Ismail; Nada Shahin; Huned Materwala; Alain Hennebelle; Lea Frermann (IEEE Access, 2023)

Connecting the Dots in News Analysis: A Cross-Disciplinary Survey of Media Bias and Framing. - Gisela Vallejo; Timothy Baldwin; Lea Frermann (CoRR, 2023)

Media Framing: A typology and Survey of Computational Approaches Across Disciplines. - Yulia Otmakhova 001; Shima Khanehzar; Lea Frermann (ACL (1), 2024)

Generative Debunking of Climate Misinformation. - Francisco Zanartu; Yulia Otmakhova 001; John Cook; Lea Frermann (CoRR, 2024)

Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy and Novel Ensemble Method. - Uri Berger; Gabriel Stanovsky; Omri Abend; Lea Frermann (CoRR, 2024)

Word reuse and combination support efficient communication of emerging concepts. - Aotao Xu; Charles Kemp; Lea Frermann; Yang Xu 023 (CoRR, 2024)

Narrative Media Framing in Political Discourse. - Yulia Otmakhova 001; Lea Frermann (ACL (Findings), 2025)

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 (ACL (Findings), 2025)

Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations. - Chaoyi Xiang; Chunhua Liu; Simon De Deyne; Lea Frermann (ACL (1), 2025)

Automated Business Process Analysis: An LLM-Based Approach to Value Assessment. - William De Michele; Abel Armas-Cervantes; Lea Frermann (CAiSE Forum, 2025)

Human Interest Framing across Cultures: A Case Study on Climate Change. - Gisela Vallejo; Christine de Kock; Timothy Baldwin; Lea Frermann (COLING, 2025)

WHoW: A Cross-domain Approach for Analysing Conversation Moderation. - Ming-Bin Chen; Lea Frermann; Jey Han Lau (NAACL (Long Papers), 2025)

Improving Image Captioning by Mimicking Human Reformulation Feedback at Inference-time. - Uri Berger; Omri Abend; Lea Frermann; Gabriel Stanovsky (CoRR, 2025)

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models. - Yilin Geng; Haonan Li 002; Honglin Mu; Xudong Han; Timothy Baldwin; Omri Abend; Eduard H. Hovy; Lea Frermann (CoRR, 2025)

Moderation Matters:Measuring Conversational Moderation Impact in English as a Second Language Group Discussion. - Rena Gao; Ming-Bin Chen; Lea Frermann; Jey Han Lau (CoRR, 2025)

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments. - Matteo Guida; Yulia Otmakhova 001; Eduard H. Hovy; Lea Frermann (CoRR, 2025)

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments. - Matteo Guida; Yulia Otmakhova 001; Eduard H. Hovy; Lea Frermann (CoRR, 2025)