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Lea Frermann
Lea Frermann
Computing and Information Systems, The University of Melbourne
Geverifieerd e-mailadres voor frermann.de - Homepage
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A Bayesian model of diachronic meaning change
L Frermann, M Lapata
Transactions of the Association for Computational Linguistics 4, 31-45, 2016
1572016
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
582014
Inducing document structure for aspect-based summarization
L Frermann, A Klementiev
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
292019
Screenplay summarization using latent narrative structure
P Papalampidi, F Keller, L Frermann, M Lapata
arXiv preprint arXiv:2004.12727, 2020
282020
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
242018
Incremental bayesian category learning from natural language
L Frermann, M Lapata
Cognitive Science 40 (6), 1333-1381, 2016
182016
Evaluating debiasing techniques for intersectional biases
S Subramanian, X Han, T Baldwin, T Cohn, L Frermann
arXiv preprint arXiv:2109.10441, 2021
172021
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
132017
PPT: Parsimonious parser transfer for unsupervised cross-lingual adaptation
K Kurniawan, L Frermann, P Schulz, T Cohn
arXiv preprint arXiv:2101.11216, 2021
122021
Fairness-aware class imbalanced learning
S Subramanian, A Rahimi, T Baldwin, T Cohn, L Frermann
arXiv preprint arXiv:2109.10444, 2021
102021
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
82018
Incremental Bayesian learning of semantic categories
L Frermann, M Lapata
Proceedings of the 14th Conference of the European Chapter of the …, 2014
82014
Contrastive learning for fair representations
A Shen, X Han, T Cohn, T Baldwin, L Frermann
arXiv preprint arXiv:2109.10645, 2021
62021
Extractive NarrativeQA with heuristic pre-training
L Frermann
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
52019
Partners in crime: Multi-view sequential inference for movie understanding
N Papasarantopoulos, L Frermann, M Lapata, SB Cohen
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
52019
Prosodic features from large corpora of child-directed speech as predictors of the age of acquisition of words
L Frermann, MC Frank
arXiv preprint arXiv:1709.09443, 2017
52017
Optimising equal opportunity fairness in model training
A Shen, X Han, T Cohn, T Baldwin, L Frermann
arXiv preprint arXiv:2205.02393, 2022
42022
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
42022
Cross-lingual parse disambiguation based on semantic correspondence
L Frermann, F Bond
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
42012
BookQA: Stories of Challenges and Opportunities
S Angelidis, L Frermann, D Marcheggiani, R Blanco, L Màrquez
arXiv preprint arXiv:1910.00856, 2019
32019
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