| A bayesian model of diachronic meaning change L Frermann, M Lapata Transactions of the Association for Computational Linguistics 4, 31-45, 2016 | 104 | 2016 |
| 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 | 51 | 2014 |
| 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 | 12 | 2018 |
| Incremental Bayesian category learning from natural language L Frermann, M Lapata Cognitive Science 40 (6), 1333-1381, 2016 | 10 | 2016 |
| 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 | 9 | 2017 |
| Inducing document structure for aspect-based summarization L Frermann, A Klementiev Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 8 | 2019 |
| Incremental Bayesian learning of semantic categories L Frermann, M Lapata Proceedings of the 14th Conference of the European Chapter of the …, 2014 | 8 | 2014 |
| 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 | 5 | 2017 |
| Screenplay Summarization Using Latent Narrative Structure P Papalampidi, F Keller, L Frermann, M Lapata arXiv preprint arXiv:2004.12727, 2020 | 4 | 2020 |
| Extractive NarrativeQA with heuristic pre-training L Frermann Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019 | 4 | 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 | 4 | 2018 |
| Cross-lingual parse disambiguation based on semantic correspondence L Frermann, F Bond Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 4 | 2012 |
| 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 | 3 | 2019 |
| 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 | 1 | 2015 |
| 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 | | |
Mirella LapataSchool of Informatics, Edinburgh UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα inf.ed.ac.uk
