Lea Frermann
Lea Frermann
Computing and Information Systems, The University of Melbourne
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα frermann.de - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
A bayesian model of diachronic meaning change
L Frermann, M Lapata
Transactions of the Association for Computational Linguistics 4, 31-45, 2016
1042016
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
512014
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
122018
Incremental Bayesian category learning from natural language
L Frermann, M Lapata
Cognitive Science 40 (6), 1333-1381, 2016
102016
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
92017
Inducing document structure for aspect-based summarization
L Frermann, A Klementiev
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
82019
Incremental Bayesian learning of semantic categories
L Frermann, M Lapata
Proceedings of the 14th Conference of the European Chapter of the …, 2014
82014
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
Screenplay Summarization Using Latent Narrative Structure
P Papalampidi, F Keller, L Frermann, M Lapata
arXiv preprint arXiv:2004.12727, 2020
42020
Extractive NarrativeQA with heuristic pre-training
L Frermann
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
42019
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
42018
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
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
32019
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
12015
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
2021
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation
K Kurniawan, L Frermann, P Schulz, T Cohn
arXiv preprint arXiv:2101.11216, 2021
2021
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
L Poddar, G Szarvas, L Frermann
arXiv preprint arXiv:1910.07333, 2019
2019
BookQA: Stories of Challenges and Opportunities
S Angelidis, L Frermann, D Marcheggiani, R Blanco, L Màrquez
arXiv preprint arXiv:1910.00856, 2019
2019
Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages
L Frermann, M Lapata
arXiv preprint arXiv:1902.08830, 2019
2019
A Bayesian Model of Joint Category and Feature Learning
L Frermann
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