Papers Diachronic Word Embeddings
“Diachronic Word Embeddings” 태그가 달린 논문 27편 · 필터 해제
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
Measuring how semantics of words change over time improves our understanding of how cultures and perspectives change. Diachronic word embeddings help us quantify this shift, although previous studies leveraged substantia…
ArticlesDiachronic Word EmbeddingsSentiment AnalysisWord EmbeddingsWord Embeddings Track Social Group Changes Across 70 Years in China
Language encodes societal beliefs about social groups through word patterns. While computational methods like word embeddings enable quantitative analysis of these patterns, studies have primarily examined gradual shifts…
Diachronic Word EmbeddingsWord EmbeddingsFrom cart to truck: meaning shift through words in English in the last two centuries
This onomasiological study uses diachronic word embeddings to explore how different words represented the same concepts over time, using historical word data from 1800 to 2000. We identify shifts in energy, transport, en…
Diachronic Word EmbeddingsWord EmbeddingsML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
This research introduces the Multilevel Embedding Association Test (ML-EAT), a method designed for interpretable and transparent measurement of intrinsic bias in language technologies. The ML-EAT addresses issues of ambi…
AttributeDiachronic Word EmbeddingsWord EmbeddingsTracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings
Language and its usage change over time. While legal language is arguably more stable than everyday language, it is still subject to change. Sometimes it changes gradually and slowly, sometimes almost instantaneously, fo…
Diachronic Word EmbeddingsWord EmbeddingsEvaluating the timing and magnitude of semantic change in diachronic word embedding models
Recent studies have suggested that diachronic word embedding models are able to track the direction of changes in public perception. Building on these works, we evaluate the ability of diachronic word embedding models to…
ArticlesDiachronic Word EmbeddingsWord EmbeddingsAn Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings
Covid 19 has seen the world go into a lock down and unconventional social situations throughout. During this time, the world saw a surge in information sharing around the pandemic and the topics shared in the time were d…
Diachronic Word EmbeddingsWord EmbeddingsDiachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
We analyze bias in historical corpora as encoded in diachronic distributional semantic models by focusing on two specific forms of bias, namely a political (i.e., anti-communism) and racist (i.e., antisemitism) one. For …
Diachronic Word EmbeddingsWord EmbeddingsDUKweb: Diachronic word representations from the UK Web Archive corpus
Lexical semantic change (detecting shifts in the meaning and usage of words) is an important task for social and cultural studies as well as for Natural Language Processing applications. Diachronic word embeddings (time-…
Change DetectionDiachronic Word EmbeddingsWord EmbeddingsWords with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings
In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliab…
Diachronic Word EmbeddingsDiversityRelationWord EmbeddingsAbolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
The abolitionist movement of the nineteenth-century United States remains among the most significant social and political movements in US history. Abolitionist newspapers played a crucial role in spreading information an…
Diachronic Word EmbeddingsWord EmbeddingsQMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
In this paper, we present the results and main findings of our system for the DIACR-ITA 2020 Task. Our system focuses on using variations of training sets and different semantic detection methods. The task involves train…
Diachronic Word EmbeddingsGeneral ClassificationregressionWord EmbeddingsTemporal Embeddings and Transformer Models for Narrative Text Understanding
We present two deep learning approaches to narrative text understanding for character relationship modelling. The temporal evolution of these relations is described by dynamic word embeddings, that are designed to learn …
ClusteringDe-aliasingDiachronic Word EmbeddingsNatural Language Understanding+1Text-based inference of moral sentiment change
We present a text-based framework for investigating moral sentiment change of the public via longitudinal corpora. Our framework is based on the premise that language use can inform people's moral perception toward right…
Diachronic Word EmbeddingsWord EmbeddingsFollow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Diachronic word embeddings -- vector representations of words over time -- offer remarkable insights into the evolution of language and provide a tool for quantifying sociocultural change from text documents. Prior work …
ArticlesDiachronic Word EmbeddingsWord EmbeddingsEmpirical Study of Diachronic Word Embeddings for Scarce Data
Word meaning change can be inferred from drifts of time-varying word embeddings. However, temporal data may be too sparse to build robust word embeddings and to discriminate significant drifts from noise. In this paper, …
Diachronic Word EmbeddingsWord EmbeddingsContextualized Diachronic Word Representations
Diachronic word embeddings play a key role in capturing interesting patterns about how language evolves over time. Most of the existing work focuses on studying corpora spanning across several decades, which is understan…
Diachronic Word EmbeddingsInductive BiasWord EmbeddingsTimes Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings
We propose Word Embedding Networks, a novel method that is able to learn word embeddings of individual data slices while simultaneously aligning and ordering them without feeding temporal information a priori to the mode…
Diachronic Word EmbeddingsWord EmbeddingsGrammar and Meaning: Analysing the Topology of Diachronic Word Embeddings
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). Historically, this is the period in which many regi…
ClusteringDiachronic Word EmbeddingsWord EmbeddingsLearning dynamic word embeddings with drift regularisation
Word usage, meaning and connotation change throughout time. Diachronic word embeddings are used to grasp these changes in an unsupervised way. In this paper, we use variants of the Dynamic Bernoulli Embeddings model to l…
ArticlesDiachronic Word EmbeddingsWord Embeddings