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ORCIDLea Frermann
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2020 – today
- 2025
[c37]Gisela Vallejo, Christine de Kock, Timothy Baldwin, Lea Frermann:
Human Interest Framing across Cultures: A Case Study on Climate Change. COLING 2025: 11380-11398- 2024
- [c36]Yulia Otmakhova, Shima Khanehzar, Lea Frermann:
Media Framing: A typology and Survey of Computational Approaches Across Disciplines. ACL (1) 2024: 15407-15428 - [i25]Francisco Zanartu, Yulia Otmakhova, John Cook, Lea Frermann:
Generative Debunking of Climate Misinformation. CoRR abs/2407.05599 (2024) - [i24]Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann:
Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy and Novel Ensemble Method. CoRR abs/2408.04909 (2024) - [i23]Ming-Bin Chen, Lea Frermann, Jey Han Lau:
WHoW: A Cross-domain Approach for Analysing Conversation Moderation. CoRR abs/2410.15551 (2024) - [i22]Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu:
Word reuse and combination support efficient communication of emerging concepts. CoRR abs/2411.05379 (2024) - 2023
- [j4]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: 144126-144149 (2023) - [c35]Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak:
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. ACL (1) 2023: 8712-8732 - [c34]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: 136-147 - [c33]Katie Warburton, Charles Kemp, Yang Xu, Lea Frermann:
Quantifying Bias in Library Classification Systems. CogSci 2023 - [c32]Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu:
Predicting strategy choice in word formation: A case study of reuse and compounding. CogSci 2023 - [c31]Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann:
Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. EACL 2023: 873-885 - [c30]Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend:
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. EACL (Findings) 2023: 2240-2254 - [c29]Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann:
More than Votes? Voting and Language based Partisanship in the US Supreme Court. EMNLP (Findings) 2023: 4604-4614 - [c28]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: 197-207 - [c27]Chunhua Liu, Trevor Cohn, Lea Frermann:
Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. *SEM@ACL 2023: 193-206 - [i21]Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend:
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. CoRR abs/2302.04811 (2023) - [i20]Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak:
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. CoRR abs/2306.02052 (2023) - [i19]Gisela Vallejo, Timothy Baldwin, Lea Frermann:
Connecting the Dots in News Analysis: A Cross-Disciplinary Survey of Media Bias and Framing. CoRR abs/2309.08069 (2023) - 2022
- [c26]Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu:
Word formation supports efficient communication: The case of compounds. CogSci 2022 - [c25]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
FairLib: A Unified Framework for Assessing and Improving Fairness. EMNLP (Demos) 2022: 60-71 - [c24]Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Systematic Evaluation of Predictive Fairness. AACL/IJCNLP (1) 2022: 68-81 - [c23]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Does Representational Fairness Imply Empirical Fairness? AACL/IJCNLP (Findings) 2022: 81-95 - [c22]Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann:
WAX: A New Dataset for Word Association eXplanations. AACL/IJCNLP (1) 2022: 106-120 - [c21]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. NAACL-HLT 2022: 2041-2054 - [c20]Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann:
A Computational Acquisition Model for Multimodal Word Categorization. NAACL-HLT 2022: 3819-3835 - [c19]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Optimising Equal Opportunity Fairness in Model Training. NAACL-HLT 2022: 4073-4084 - [i18]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
fairlib: A Unified Framework for Assessing and Improving Classification Fairness. CoRR abs/2205.01876 (2022) - [i17]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Optimising Equal Opportunity Fairness in Model Training. CoRR abs/2205.02393 (2022) - [i16]Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann:
A Computational Acquisition Model for Multimodal Word Categorization. CoRR abs/2205.05974 (2022) - [i15]Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Systematic Evaluation of Predictive Fairness. CoRR abs/2210.08758 (2022) - [i14]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 abs/2211.09942 (2022) - 2021
- [c18]Lea Frermann, Mirella Lapata:
Categorization in the Wild: Category and Feature Learning across Languages. CogSci 2021 - [c17]Chunhua Liu, Trevor Cohn, Lea Frermann:
Commonsense Knowledge in Word Associations and ConceptNet. CoNLL 2021: 481-495 - [c16]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. EACL 2021: 2907-2918 - [c15]Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. EMNLP (1) 2021: 2045-2051 - [c14]Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. EMNLP (1) 2021: 2492-2498 - [c13]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: 2154-2166 - [c12]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. SemEval@ACL/IJCNLP 2021: 445-451 - [i13]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. CoRR abs/2101.11216 (2021) - [i12]Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann:
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. CoRR abs/2104.11030 (2021) - [i11]Chunhua Liu, Trevor Cohn, Lea Frermann:
Commonsense Knowledge in Word Associations and ConceptNet. CoRR abs/2109.09309 (2021) - [i10]Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. CoRR abs/2109.10441 (2021) - [i9]Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. CoRR abs/2109.10444 (2021) - [i8]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Contrastive Learning for Fair Representations. CoRR abs/2109.10645 (2021) - [i7]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. CoRR abs/2110.03866 (2021) - 2020
- [c11]Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata:
Screenplay Summarization Using Latent Narrative Structure. ACL 2020: 1920-1933 - [i6]Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata:
Screenplay Summarization Using Latent Narrative Structure. CoRR abs/2004.12727 (2020)
2010 – 2019
- 2019
- [c10]Lea Frermann, Alexandre Klementiev:
Inducing Document Structure for Aspect-based Summarization. ACL (1) 2019: 6263-6273 - [c9]Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez:
Book QA: Stories of Challenges and Opportunities. MRQA@EMNLP 2019: 78-85 - [c8]Lea Frermann:
Extractive NarrativeQA with Heuristic Pre-Training. MRQA@EMNLP 2019: 172-182 - [c7]Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen:
Partners in Crime: Multi-view Sequential Inference for Movie Understanding. EMNLP/IJCNLP (1) 2019: 2057-2067 - [i5]Lea Frermann, Mirella Lapata:
Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages. CoRR abs/1902.08830 (2019) - [i4]Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez:
BookQA: Stories of Challenges and Opportunities. CoRR abs/1910.00856 (2019) - [i3]Lahari Poddar, György Szarvas, Lea Frermann:
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. CoRR abs/1910.07333 (2019) - 2018
- [j3]Lea Frermann, Shay B. Cohen, Mirella Lapata:
Whodunnit? Crime Drama as a Case for Natural Language Understanding. Trans. Assoc. Comput. Linguistics 6: 1-15 (2018) - [c6]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: 2028-2038 - 2017
- [b1]Lea Frermann:
Bayesian models of category acquisition and meaning development. University of Edinburgh, UK, 2017 - [c5]Lea Frermann, György Szarvas:
Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. EMNLP 2017: 1873-1883 - [i2]Lea Frermann, Michael C. Frank:
Prosodic Features from Large Corpora of Child-Directed Speech as Predictors of the Age of Acquisition of Words. CoRR abs/1709.09443 (2017) - [i1]Lea Frermann, Shay B. Cohen, Mirella Lapata:
Whodunnit? Crime Drama as a Case for Natural Language Understanding. CoRR abs/1710.11601 (2017) - 2016
- [j2]Lea Frermann, Mirella Lapata:
Incremental Bayesian Category Learning From Natural Language. Cogn. Sci. 40(6): 1333-1381 (2016) - [j1]Lea Frermann, Mirella Lapata:
A Bayesian Model of Diachronic Meaning Change. Trans. Assoc. Comput. Linguistics 4: 31-45 (2016) - 2015
- [c4]Lea Frermann, Mirella Lapata:
A Bayesian Model for Joint Learning of Categories and their Features. HLT-NAACL 2015: 1576-1586 - 2014
- [c3]Lea Frermann, Ivan Titov, Manfred Pinkal:
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. EACL 2014: 49-57 - [c2]Lea Frermann, Mirella Lapata:
Incremental Bayesian Learning of Semantic Categories. EACL 2014: 249-258 - 2012
- [c1]Lea Frermann, Francis Bond:
Cross-lingual Parse Disambiguation based on Semantic Correspondence. ACL (2) 2012: 125-129
Coauthor Index
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last updated on 2025-01-29 22:14 CET by the dblp team
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