Diachronic word embeddings and semantic shifts: a survey

A Kutuzov, L Øvrelid, T Szymanski, E Velldal - arXiv preprint arXiv …, 2018 - arxiv.org
Recent years have witnessed a surge of publications aimed at tracing temporal changes in
lexical semantics using distributional methods, particularly prediction-based word …

[HTML][HTML] Cultural shift or linguistic drift? comparing two computational measures of semantic change

WL Hamilton, J Leskovec, D Jurafsky - Proceedings of the …, 2016 - ncbi.nlm.nih.gov
Abstract Words shift in meaning for many reasons, including cultural factors like new
technologies and regular linguistic processes like subjectification. Understanding the …

Time-out: Temporal referencing for robust modeling of lexical semantic change

H Dubossarsky, S Hengchen, N Tahmasebi… - arXiv preprint arXiv …, 2019 - arxiv.org
State-of-the-art models of lexical semantic change detection suffer from noise stemming from
vector space alignment. We have empirically tested the Temporal Referencing method for …

A wind of change: Detecting and evaluating lexical semantic change across times and domains

D Schlechtweg, A Hätty, M Del Tredici… - arXiv preprint arXiv …, 2019 - arxiv.org
We perform an interdisciplinary large-scale evaluation for detecting lexical semantic
divergences in a diachronic and in a synchronic task: semantic sense changes across time …

Leveraging contextual embeddings for detecting diachronic semantic shift

M Martinc, PK Novak, S Pollak - arXiv preprint arXiv:1912.01072, 2019 - arxiv.org
We propose a new method that leverages contextual embeddings for the task of diachronic
semantic shift detection by generating time specific word representations from BERT …

Survey of computational approaches to lexical semantic change

N Tahmasebi, L Borin, A Jatowt - arXiv preprint arXiv:1811.06278, 2018 - arxiv.org
Our languages are in constant flux driven by external factors such as cultural, societal and
technological changes, as well as by only partially understood internal motivations. Words …

UWB at SemEval-2020 task 1: Lexical semantic change detection

O Pražák, P Přibáň, S Taylor, J Sido - arXiv preprint arXiv:2012.00004, 2020 - arxiv.org
In this paper, we describe our method for the detection of lexical semantic change, ie, word
sense changes over time. We examine semantic differences between specific words in two …

Slangvolution: A causal analysis of semantic change and frequency dynamics in slang

D Keidar, A Opedal, Z Jin, M Sachan - arXiv preprint arXiv:2203.04651, 2022 - arxiv.org
Languages are continuously undergoing changes, and the mechanisms that underlie these
changes are still a matter of debate. In this work, we approach language evolution through …

[PDF][PDF] What about Grammar? Using BERT Embeddings to Explore Functional-Semantic Shifts of Semi-Lexical and Grammatical Constructions.

L Fonteyn, F Karsdorp, B McGillivray, A Nerghens… - CHR, 2020 - ceur-ws.org
The aim of this short paper is to extend the application of embedding-based methodologies
beyond the realm of lexical semantic change. It focuses on the use of unsupervised BERT …

Diachronic analysis of German parliamentary proceedings: Ideological shifts through the lens of political biases

T Walter, C Kirschner, S Eger, G Glavaš… - 2021 ACM/IEEE …, 2021 - ieeexplore.ieee.org
We analyze bias in historical corpora as encoded in diachronic distributional semantic
models by focusing on two specific forms of bias, namely a political (ie, anti-communism) …