Follow
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
1452016
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
552014
Inducing document structure for aspect-based summarization
L Frermann, A Klementiev
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
272019
Screenplay summarization using latent narrative structure
P Papalampidi, F Keller, L Frermann, M Lapata
arXiv preprint arXiv:2004.12727, 2020
222020
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
222018
Incremental bayesian category learning from natural language
L Frermann, M Lapata
Cognitive Science 40 (6), 1333-1381, 2016
152016
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
122017
Evaluating debiasing techniques for intersectional biases
S Subramanian, X Han, T Baldwin, T Cohn, L Frermann
arXiv preprint arXiv:2109.10441, 2021
82021
Incremental Bayesian learning of semantic categories
L Frermann, M Lapata
Proceedings of the 14th Conference of the European Chapter of the …, 2014
82014
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
72018
PPT: Parsimonious parser transfer for unsupervised cross-lingual adaptation
K Kurniawan, L Frermann, P Schulz, T Cohn
arXiv preprint arXiv:2101.11216, 2021
52021
Extractive NarrativeQA with heuristic pre-training
L Frermann
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 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
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
42019
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
Fairness-aware class imbalanced learning
S Subramanian, A Rahimi, T Baldwin, T Cohn, L Frermann
arXiv preprint arXiv:2109.10444, 2021
32021
Contrastive learning for fair representations
A Shen, X Han, T Cohn, T Baldwin, L Frermann
arXiv preprint arXiv:2109.10645, 2021
22021
BookQA: Stories of Challenges and Opportunities
S Angelidis, L Frermann, D Marcheggiani, R Blanco, L Màrquez
arXiv preprint arXiv:1910.00856, 2019
22019
A Bayesian Model for Joint Learning of Categories and their Features
L Frermann, M Lapata
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
22015
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
12022
The system can't perform the operation now. Try again later.
Articles 1–20