Adam Tsakalidis

Orcid: 0000-0003-1831-0683

According to our database1, Adam Tsakalidis authored at least 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A longitudinal multi-modal dataset for dementia monitoring and diagnosis.
Lang. Resour. Evaluation, September, 2024

Clinically meaningful timeline summarisation in social media for mental health monitoring.
CoRR, 2024

TempoFormer: A Transformer for Temporally-aware Representations in Change Detection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exciting Mood Changes: A Time-aware Hierarchical Transformer for Change Detection Modelling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Digital Language Coherence Marker for Monitoring Dementia.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Creation and evaluation of timelines for longitudinal user posts.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Sequential Path Signature Networks for Personalised Longitudinal Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Time-Aware Predictions of Moments of Change in Longitudinal User Posts on Social Media.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
Template-based Abstractive Microblog Opinion Summarisation.
Trans. Assoc. Comput. Linguistics, 2022

Unsupervised Opinion Summarisation in the Wasserstein Space.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Identifying Moments of Change from Longitudinal User Text.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
DUKweb: Diachronic word representations from the UK Web Archive corpus.
CoRR, 2021

Evaluation of Thematic Coherence in Microblogs.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
QMUL-SDS @ DIACR-ITA Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian.
CoRR, 2020

Autoencoding Word Representations through Time for Semantic Change Detection.
CoRR, 2020

QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian (short paper).
Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020

Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Mining the UK Web Archive for Semantic Change Detection.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

2018
Building and evaluating resources for sentiment analysis in the Greek language.
Lang. Resour. Evaluation, 2018

Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs.
Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Towards Real-Time, Country-Level Location Classification of Worldwide Tweets.
IEEE Trans. Knowl. Data Eng., 2017

TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter.
Proceedings of the IJCNLP 2017, Tapei, Taiwan, November 27, 2017

2016
Combining Heterogeneous User Generated Data to Sense Well-being.
Proceedings of the COLING 2016, 2016

2015
Predicting Elections for Multiple Countries Using Twitter and Polls.
IEEE Intell. Syst., 2015

WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2014
An Ensemble Model for Cross-Domain Polarity Classification on Twitter.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014


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