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Lea Frermann
Lea Frermann
Computing and Information Systems, The University of Melbourne
Verified email at frermann.de - Homepage
Title
Cited by
Cited by
Year
A Bayesian model of diachronic meaning change
L Frermann, M Lapata
Transactions of the Association for Computational Linguistics 4, 31-45, 2016
1822016
A hierarchical bayesian model for unsupervised induction of script knowledge
L Frermann, I Titov, M Pinkal
Proceedings of the 14th Conference of the European Chapter of the …, 2014
592014
Inducing document structure for aspect-based summarization
L Frermann, A Klementiev
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
562019
Screenplay summarization using latent narrative structure
P Papalampidi, F Keller, L Frermann, M Lapata
arXiv preprint arXiv:2004.12727, 2020
492020
Evaluating debiasing techniques for intersectional biases
S Subramanian, X Han, T Baldwin, T Cohn, L Frermann
arXiv preprint arXiv:2109.10441, 2021
412021
Whodunnit? crime drama as a case for natural language understanding
L Frermann, SB Cohen, M Lapata
Transactions of the Association for Computational Linguistics 6, 1-15, 2018
342018
Fairness-aware class imbalanced learning
S Subramanian, A Rahimi, T Baldwin, T Cohn, L Frermann
arXiv preprint arXiv:2109.10444, 2021
222021
Contrastive learning for fair representations
A Shen, X Han, T Cohn, T Baldwin, L Frermann
arXiv preprint arXiv:2109.10645, 2021
212021
Incremental bayesian category learning from natural language
L Frermann, M Lapata
Cognitive science 40 (6), 1333-1381, 2016
202016
Unsupervised induction of linguistic categories with records of reading, speaking, and writing
M Barrett, AV González-Garduño, L Frermann, A Søgaard
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
172018
Optimising equal opportunity fairness in model training
A Shen, X Han, T Cohn, T Baldwin, L Frermann
arXiv preprint arXiv:2205.02393, 2022
162022
PPT: Parsimonious parser transfer for unsupervised cross-lingual adaptation
K Kurniawan, L Frermann, P Schulz, T Cohn
arXiv preprint arXiv:2101.11216, 2021
162021
Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels
L Frermann, G Szarvas
In Proceedings of the Conference on Empirical Methods on Natural Language …, 2017
142017
Does Representational Fairness Imply Empirical Fairness?
A Shen, X Han, T Cohn, T Baldwin, L Frermann
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 …, 2022
132022
fairlib: A unified framework for assessing and improving classification fairness
X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn
arXiv preprint arXiv:2205.01876, 2022
102022
Extractive NarrativeQA with heuristic pre-training
L Frermann
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
92019
Systematic evaluation of predictive fairness
X Han, A Shen, T Cohn, T Baldwin, L Frermann
arXiv preprint arXiv:2210.08758, 2022
82022
Incremental Bayesian learning of semantic categories
L Frermann, M Lapata
Proceedings of the 14th Conference of the European Chapter of the …, 2014
82014
WAX: A new dataset for word association explanations
C Liu, T Cohn, S De Deyne, L Frermann
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022
72022
Neural network-based artificial intelligence system for content-based recommendations using multi-perspective learned descriptors
G Szarvas, A Klementiev, L Frermann
US Patent 10,909,442, 2021
72021
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