activity
20162025
most citedStatistically significant detection of semantic shifts using contextual word embeddings

19 citations · 48 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2025★ 1 cited

Evaluating the Contextual Integrity of False Positives in Algorithmic Travel Surveillance

Alina Wernick, Alan Medlar, Sofia Söderholm +1

International air travel is highly surveilled. While surveillance is deemed necessary for law enforcement to prevent and detect terrorism and other serious crimes, even the most ac…

cs.IR2023

Unexplored Frontiers: A Review of Empirical Studies of Exploratory Search

Alan Medlar, Denis Kotkov, Dorota Glowacka

This article reviews how empirical research of exploratory search is conducted. We investigated aspects of interdisciplinarity, study settings and evaluation methodologies from a s…

cs.CY2022★ 5 cited

Nobody Wants to Work Anymore: An Analysis of r/antiwork and the Interplay between Social and Mainstream Media during the Great Resignation

Alan Medlar, Yang Liu, Dorota Glowacka

r/antiwork is a Reddit community that focuses on the discussion of worker exploitation, labour rights and related left-wing political ideas (e.g. universal basic income). In late 2…

cs.HC2021★ 1 cited

Critiquing-based Modeling of Subjective Preferences

Alan Medlar, Jing Li, Yang Liu +1

Applications designed for entertainment and other non-instrumental purposes are challenging to optimize because the relationships between system parameters and user experience can…

cs.CL2021★ 19 cited

Statistically significant detection of semantic shifts using contextual word embeddings

Yang Liu, Alan Medlar, Dorota Glowacka

Detecting lexical semantic change in smaller data sets, e.g. in historical linguistics and digital humanities, is challenging due to a lack of statistical power. This issue is exac…

cs.NE2016★ 11 cited

Deep Gate Recurrent Neural Network

Yuan Gao, Dorota Glowacka

This paper introduces two recurrent neural network structures called Simple Gated Unit (SGU) and Deep Simple Gated Unit (DSGU), which are general structures for learning long term…