Lea Frermann

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 58

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Francisco Zanartu, Yulia Otmakhova, John Cook, Lea Frermann
Generative Debunking of Climate Misinformation. CoRR (2024)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann
Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. EACL (2023)
Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. ACL (1) (2023)
Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu
Predicting strategy choice in word formation: A case study of reuse and compounding. CogSci (2023)
Katie Warburton, Charles Kemp, Yang Xu, Lea Frermann
Quantifying Bias in Library Classification Systems. CogSci (2023)
Leila Ismail, Nada Shahin, Huned Materwala, Alain Hennebelle, Lea Frermann
ML-NLPEmot: Machine Learning-Natural Language Processing Event-Based Emotion Detection Proactive Framework Addressing Mental Health. IEEE Access 11 (2023)
Ming-Bin Chen, Jey Han Lau, Lea Frermann
The uncivil empathy: Investigating the relation between empathy and toxicity in online mental health support forums. ALTA (2023)
Chunhua Liu, Trevor Cohn, Lea Frermann
Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. *SEM@ACL (2023)
Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. CoRR (2023)
Gisela Vallejo, Timothy Baldwin, Lea Frermann
Connecting the Dots in News Analysis: A Cross-Disciplinary Survey of Media Bias and Framing. CoRR (2023)
Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann
More than Votes? Voting and Language based Partisanship in the US Supreme Court. EMNLP (Findings) (2023)
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. CoRR (2023)
Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann
It's not only What You Say, It's also Who It's Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom. IJCNLP (2) (2023)
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. EACL (Findings) (2023)
Jinrui Yang, Sheilla Njoto, Marc Cheong, Leah Ruppanner, Lea Frermann
Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs. CoRR (2022)
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
A Computational Acquisition Model for Multimodal Word Categorization. NAACL-HLT (2022)
Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann
Systematic Evaluation of Predictive Fairness. AACL/IJCNLP (1) (2022)
Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu
Word formation supports efficient communication: The case of compounds. CogSci (2022)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Optimising Equal Opportunity Fairness in Model Training. NAACL-HLT (2022)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. NAACL-HLT (2022)
Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn
FairLib: A Unified Framework for Assessing and Improving Fairness. EMNLP (Demos) (2022)
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
A Computational Acquisition Model for Multimodal Word Categorization. CoRR (2022)
Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann
Systematic Evaluation of Predictive Fairness. CoRR (2022)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Does Representational Fairness Imply Empirical Fairness? AACL/IJCNLP (Findings) (2022)
Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn
fairlib: A Unified Framework for Assessing and Improving Classification Fairness. CoRR (2022)
Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann
WAX: A New Dataset for Word Association eXplanations. AACL/IJCNLP (1) (2022)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Optimising Equal Opportunity Fairness in Model Training. CoRR (2022)
Lea Frermann, Mirella Lapata
Categorization in the Wild: Category and Feature Learning across Languages. CogSci (2021)
Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann
Evaluating Debiasing Techniques for Intersectional Biases. EMNLP (1) (2021)
Chunhua Liu, Trevor Cohn, Lea Frermann
Commonsense Knowledge in Word Associations and ConceptNet. CoNLL (2021)
Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann
Evaluating Debiasing Techniques for Intersectional Biases. CoRR (2021)
Chunhua Liu, Trevor Cohn, Lea Frermann
Commonsense Knowledge in Word Associations and ConceptNet. CoRR (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. SemEval@ACL/IJCNLP (2021)
Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann
Fairness-aware Class Imbalanced Learning. EMNLP (1) (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. CoRR (2021)
Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann
Fairness-aware Class Imbalanced Learning. CoRR (2021)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Contrastive Learning for Fair Representations. CoRR (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. EACL (2021)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. CoRR (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. CoRR (2021)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. NAACL-HLT (2021)
Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata
Screenplay Summarization Using Latent Narrative Structure. CoRR (2020)
Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata
Screenplay Summarization Using Latent Narrative Structure. ACL (2020)
Lea Frermann, Mirella Lapata
Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages. CoRR (2019)
Lahari Poddar, György Szarvas, Lea Frermann
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. CoRR (2019)
Lea Frermann, Alexandre Klementiev
Inducing Document Structure for Aspect-based Summarization. ACL (1) (2019)
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez
BookQA: Stories of Challenges and Opportunities. CoRR (2019)
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez
Book QA: Stories of Challenges and Opportunities. MRQA@EMNLP (2019)
Lea Frermann
Extractive NarrativeQA with Heuristic Pre-Training. MRQA@EMNLP (2019)
Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen
Partners in Crime: Multi-view Sequential Inference for Movie Understanding. EMNLP/IJCNLP (1) (2019)
Lea Frermann, Shay B. Cohen, Mirella Lapata
Whodunnit? Crime Drama as a Case for Natural Language Understanding. Trans. Assoc. Comput. Linguistics 6 (2018)
Maria Barrett, Ana Valeria González-Garduño, Lea Frermann, Anders Søgaard
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing. NAACL-HLT (2018)
Lea Frermann, Shay B. Cohen, Mirella Lapata
Whodunnit? Crime Drama as a Case for Natural Language Understanding. CoRR (2017)
Lea Frermann, György Szarvas
Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. EMNLP (2017)
Lea Frermann, Michael C. Frank
Prosodic Features from Large Corpora of Child-Directed Speech as Predictors of the Age of Acquisition of Words. CoRR (2017)
Lea Frermann, Mirella Lapata
A Bayesian Model of Diachronic Meaning Change. Trans. Assoc. Comput. Linguistics 4 (2016)
Lea Frermann, Mirella Lapata
Incremental Bayesian Category Learning From Natural Language. Cogn. Sci. 40 (6) (2016)
Lea Frermann, Mirella Lapata
A Bayesian Model for Joint Learning of Categories and their Features. HLT-NAACL (2015)
Lea Frermann, Mirella Lapata
Incremental Bayesian Learning of Semantic Categories. EACL (2014)
Lea Frermann, Ivan Titov, Manfred Pinkal
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. EACL (2014)
Lea Frermann, Francis Bond
Cross-lingual Parse Disambiguation based on Semantic Correspondence. ACL (2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lea Frermann