Search Results for author: Stefania Degaetano-Ortlieb

Found 15 papers, 1 papers with code

Some steps towards the generation of diachronic WordNets

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).

A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English

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.


Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings

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).

Clustering Diachronic Word Embeddings +1

The Scientization of Literary Study

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.

Using relative entropy for detection and analysis of periods of diachronic linguistic change

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.

Stylistic variation over 200 years of court proceedings according to gender and social class

no code implementations WS 2018 Stefania Degaetano-Ortlieb

In addition, by relative entropy, we can determine which linguistic units are related to stylistic variation.

Modeling intra-textual variation with entropy and surprisal: topical vs. stylistic patterns

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.

Modeling Diachronic Change in Scientific Writing with Information Density

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.

General Classification Informativeness

The Royal Society Corpus: From Uncharted Data to Corpus

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.


Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers

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.

Text Categorization

Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach

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.

Text Classification

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