Lea Frermann

Partners in crime: Multi-view sequential inference for movie understanding

N Papasarantopoulos, Lea Frermann, M Lapata, SB Cohen

Conference Proceedings  |  2019  |  Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Multi-view learning algorithms are powerful representation learning tools, often exploited in the context of multimodal problems. ..

Inducing document structure for aspect-based summarization

L Frermann, A Klementiev

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Automatic summarization is typically treated as a 1-to-1 mapping from document to summary. Documents such as news articles, howeve..

Whodunnit? Crime Drama as a Case for Natural Language Understanding

Lea Frermann, Shay B Cohen, Mirella Lapata

Journal article  |  2018  |  Transactions of the Association for Computational Linguistics

In this paper we argue that crime drama exemplified in television programs such as CSI: Crime Scene Investigation is an ideal test..

Unsupervised induction of linguistic categories with records of reading, speaking, and writing

M Barrett, AV Gonźalez-Garduño, L Frermann, A Søgaard

Conference Proceedings  |  2018  |  NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference

Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing

Maria Barrett, Ana Valeria Gonzalez-Garduño, Lea Frermann, Anders Søgaard

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

When learning POS taggers and syntactic chunkers for low-resource languages, different resources may be available, and often all w..

Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels

Lea Frermann, György Szarvas

Conference Proceedings  |  2017  |  Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Automatically understanding the plot of novels is important both for informing literary scholarship and applications such as summa..

A Bayesian Model of Diachronic Meaning Change

Lea Frermann, Mirella Lapata

Journal article  |  2016  |  Transactions of the Association for Computational Linguistics

Word meanings change over time and an automated procedure for extracting this information from text would be useful for historical..

Incremental Bayesian Category Learning From Natural Language

Lea Frermann, Mirella Lapata

Journal article  |  2016  |  Cognitive Science

A Bayesian model for joint learning of categories and their features

L Frermann, M Lapata

Conference Proceedings  |  2015  |  Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

© 2015 Association for Computational Linguistics. Categories such as ANIMAL or FURNITURE are acquired at an early age and play an ..

Incremental Bayesian learning of semantic categories

L Frermann, M Lapata

Conference Proceedings  |  2014  |  Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or ..