Lea Frermann
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
752016
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
372014
Incremental Bayesian category learning from natural language
L Frermann, M Lapata
Cognitive science 40 (6), 1333-1381, 2016
92016
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
72017
Incremental Bayesian learning of semantic categories
L Frermann, M Lapata
Proceedings of the 14th Conference of the European Chapter of the …, 2014
72014
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
62018
Cross-lingual parse disambiguation based on semantic correspondence
L Frermann, F Bond
42012
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
32017
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
Extractive NarrativeQA with Heuristic Pre-Training
L Frermann
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
2019
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
2019
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
Inducing Document Structure for Aspect-based Summarization
L Frermann, A Klementiev
Proceedings of the 57th Annual Meeting of the Association for Computational …, 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
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
2018
A Bayesian Model of Joint Category and Feature Learning
L Frermann
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Articles 1–17