no code implementations • WS (NoDaLiDa) 2019 • Yuri Bizzoni, Marius Mosbach, Dietrich Klakow, Stefania Degaetano-Ortlieb
We apply hyperbolic embeddings to trace the dynamics of change of conceptual-semantic relationships in a large diachronic scientific corpus (200 years).
no code implementations • EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 • Yuri Bizzoni, Stefania Degaetano-Ortlieb, Katrin Menzel, Elke Teich
Tracing the influence of individuals or groups in social networks is an increasingly popular task in sociolinguistic studies.
1 code implementation • COLING 2020 • Marius Mosbach, Stefania Degaetano-Ortlieb, Marie-Pauline Krielke, Badr M. Abdullah, Dietrich Klakow
Transformer-based language models achieve high performance on various tasks, but we still lack understanding of the kind of linguistic knowledge they learn and rely on.
no code implementations • WS 2019 • Yuri Bizzoni, Stefania Degaetano-Ortlieb, Katrin Menzel, Pauline Krielke, Elke Teich
The paper showcases the application of word embeddings to change in language use in the domain of science, focusing on the Late Modern English period (17-19th century).
no code implementations • WS 2019 • Stefania Degaetano-Ortlieb, Andrew Piper
We show evidence for {``}scientization{''} effects in literary studies, though at a more muted level than scientific English, suggesting that literary studies occupies a middle ground with respect to standard English in the larger space of academic disciplines.
no code implementations • COLING 2018 • Stefania Degaetano-Ortlieb, Elke Teich
We present a data-driven approach to detect periods of linguistic change and the lexical and grammatical features contributing to change.
no code implementations • WS 2018 • Stefania Degaetano-Ortlieb
In addition, by relative entropy, we can determine which linguistic units are related to stylistic variation.
no code implementations • WS 2017 • Stefania Degaetano-Ortlieb, Elke Teich
We present a data-driven approach to investigate intra-textual variation by combining entropy and surprisal.
no code implementations • COLING 2016 • Raphael Rubino, Stefania Degaetano-Ortlieb, Elke Teich, Josef van Genabith
In this paper we investigate the introduction of information theory inspired features to study long term diachronic change on three levels: lexis, part-of-speech and syntax.
no code implementations • LREC 2016 • Hannah Kermes, Stefania Degaetano-Ortlieb, Ashraf Khamis, J{\"o}rg Knappen, Elke Teich
We present the Royal Society Corpus (RSC) built from the Philosophical Transactions and Proceedings of the Royal Society of London.
no code implementations • LREC 2014 • Stefania Degaetano-Ortlieb, Peter Fankhauser, Hannah Kermes, Ekaterina Lapshinova-Koltunski, Noam Ordan, Elke Teich
We present a methodology to analyze the linguistic evolution of scientific registers with data mining techniques, comparing the insights gained from shallow vs. linguistic features.
no code implementations • LREC 2012 • Stefania Degaetano-Ortlieb, Ekaterina Lapshinova-Koltunski, Elke Teich
In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers.