26 citations · 39 across the 14 of their papers we have counts for
16 papers
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection
Talia Tseriotou, Adam Tsakalidis, Maria Liakata
Dynamic representation learning plays a pivotal role in understanding the evolution of linguistic content over time. On this front both context and time dynamics as well as their i…
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
Jiayu Song, Jenny Chim, Adam Tsakalidis +3
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines,…
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis +4
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling. A central focus is the incorporation of Signature-based…
A Digital Language Coherence Marker for Monitoring Dementia
Dimitris Gkoumas, Adam Tsakalidis, Maria Liakata
The use of spontaneous language to derive appropriate digital markers has become an emergent, promising and non-intrusive method to diagnose and monitor dementia. Here we propose m…
Creation and evaluation of timelines for longitudinal user posts
Anthony Hills, Adam Tsakalidis, Federico Nanni +2
There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts…
Unsupervised Opinion Summarisation in the Wasserstein Space
Jiayu Song, Iman Munire Bilal, Adam Tsakalidis +2
Opinion summarisation synthesises opinions expressed in a group of documents discussing the same topic to produce a single summary. Recent work has looked at opinion summarisation…
Template-based Abstractive Microblog Opinion Summarisation
Iman Munire Bilal, Bo Wang, Adam Tsakalidis +3
We introduce the task of microblog opinion summarisation (MOS) and share a dataset of 3100 gold-standard opinion summaries to facilitate research in this domain. The dataset contai…
Identifying Moments of Change from Longitudinal User Text
Adam Tsakalidis, Federico Nanni, Anthony Hills +3
Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance. Most research to-date on this topic…
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis
Dimitris Gkoumas, Bo Wang, Adam Tsakalidis +4
Dementia affects cognitive functions of adults, including memory, language, and behaviour. Standard diagnostic biomarkers such as MRI are costly, whilst neuropsychological tests su…
DUKweb: Diachronic word representations from the UK Web Archive corpus
Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi +2
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 applica…
Evaluation of Thematic Coherence in Microblogs
Iman Munire Bilal, Bo Wang, Maria Liakata +2
Collecting together microblogs representing opinions about the same topics within the same timeframe is useful to a number of different tasks and practitioners. A major question is…
QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga +1
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 de…
Autoencoding Word Representations through Time for Semantic Change Detection
Adam Tsakalidis, Maria Liakata
Semantic change detection concerns the task of identifying words whose meaning has changed over time. The current state-of-the-art detects the level of semantic change in a word by…
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum
Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea +1
Modelling user voting intention in social media is an important research area, with applications in analysing electorate behaviour, online political campaigning and advertising. Pr…
Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation
Adam Tsakalidis, Maria Liakata, Theo Damoulas +1
Predicting mental health from smartphone and social media data on a longitudinal basis has recently attracted great interest, with very promising results being reported across many…
Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
Arkaitz Zubiaga, Alex Voss, Rob Procter +3
In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here we undertake the task in a broader context by classif…