Longitudinal NLP

Publications

2024

Chim, J., Ive, J. and Liakata, M., 2024. Evaluating Synthetic Data Generation from User Generated Text. Computational Linguistics, pp.1-44. [pdf]

Gkoumas, D. and Liakata, M., 2024. Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation. arXiv preprint arXiv:2405.13984. [pdf]

Tseriotou, T., Tsakalidis, A. and Liakata, M., 2024. TempoFormer: A Transformer for Temporally-aware Representations in Change Detection. EMNLP 2024. [pdf]

Hills, A., Tseriotou, T., Miscouridou, X., Tsakalidis, A. and Liakata, M., 2024. Exciting Mood Changes: A Time-aware Hierarchical Transformer for Change Detection Modelling. Findings of the Association for Computational Linguistics: ACL 2024. [pdf]

Bilal, I.M., Nakov, P., Procter, R. and Liakata, M., 2024. Generating Zero-shot Abstractive Explanations for Rumour Verification. arXiv preprint arXiv:2401.12713. [pdf]

Song, J., Chim, J., Tsakalidis, A., Ive, J., Atzil-Slonim, D. and Liakata, M., 2024. Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media. Findings of the Association for Computational Linguistics: ACL 2024. [pdf]

Dougrez-Lewis, J., Kochkina, E., Liakata, M., and He, Y., 2024, May. Knowledge Graphs for Real-World Rumour Verification. LREC-COLING 2024.

Zhu, Y., Liakata, M., and Montana, G., 2024, May. A multi-task transformer model for fine-grained labelling of chest X-ray reports. LREC-COLING 2024.

Chim, J., Tsakalidis, A., Gkoumas, D., Atzil-Slonim, D., Ophir, Y., Zirikly, A., Resnik, P. and Liakata, M., 2024, March Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts. Proceedings of the Ninth Workshop on Computational Linguistics and Clinical Psychology. EACL 2024. [pdf]

Tseriotou, T., Chan, R.Y., Tsakalidis, A., Bilal, I.M., Kochkina, E., Lyons, T. and Liakata, M., 2024, March Sig-Networks toolkit: signature networks for longitudinal language modelling. In Proceedings the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. [pdf]

Gkoumas, D., Wang, B., Tsakalidis, A., Wolters, M., Zubiaga, A., Purver, M., and Liakata, M., 2024, January. A longitudinal multi-modal dataset for dementia monitoring and diagnosis. Journal of Language Resources and Evaluation. [pdf]

2023

Cid, Y.D., Macpherson, M., Gervais-Andre, L., Zhu, Y., Franco, G., Santeramo, R., Lim, C., Selby, I., Muthuswamy, K., Amlani, A., Hopewell, H., Indrajeet, D., Liakata, M., Hutchinson, C.E., Goh, V., and Montana, G., 2023, December Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study. The Lancet Digital Health, 6(1), pp.e44-e57. [pdf]
Boyle, J., S., Kascenas, A., Lok, P., Liakata, M. and O’Neil ,A., Q., 2023, December. Automated clinical coding using off-the-shelf large language models. Workshop on Deep Generative Models for Health, NeurIPS 2023. [pdf]
Gkoumas, D., Purver, M. and Liakata, M., 2023, December Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia. Proceedings of EMNLP 2023. [pdf]
Gkoumas, D., Tsakalidis, A. and Liakata, M., 2023, December A Digital Language Coherence Marker for Monitoring Dementia. Proceedings of EMNLP 2023. [pdf]
Hills, A., Tsakalidis, A. and Liakata, M., 2023, September Time-aware Predictions of Moments of Change in Longitudinal User Posts on Social Media. Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023. [pdf]
Alkhalifa, R., Bilal, I., Borkakoty, H., Camacho-Collados, J., Deveaud, R., El-Ebshihy, A., Espinosa-Anke, L., Gonzalez-Saez, G., Galuščáková, P., Goeuriot, L. and Kochkina, E., 2023, September Overview of the clef-2023 longeval lab on longitudinal evaluation of model performance. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 440-458). Cham: Springer Nature Switzerland. [pdf]
Tseriotou, T., Tsakalidis, A., Foster, P., Lyons, T. and Liakata, M., 2023, July Sequential Path Signature Networks for Personalised Longitudinal Language Modeling. ACL Findings 2023. [pdf]
Procter, R., Arana Catania, M., He, Y., Liakata, M., Zubiaga, A., Kochkina, E. and Zhao, R., 2023, June. Some Observations on Fact-Checking Work with Implications for Computational Support. Mediate Workshop at The International AAAI Conference on Web and Social Media (ICWSM). [pdf]
Hills, A., Tsakalidis, A., Nanni, F., Zachos, I., Liakata, M., 2023, May. Creation and evaluation of timelines for longitudinal user posts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp. 3773-3786). [pdf] [talk]
Zhao, R., Arana-Catania, M., Zhu, L., Kochkina, E., Gui, L., Zubiaga, A., Procter, R., Liakata, M. and He, Y., 2023, May. PANACEA: An Automated Misinformation Detection System on COVID-19. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp. 67-74). [pdf]
Alkhalifa, R., Bilal, I., Borkakoty, H., Camacho-Collados, J., Deveaud, R., El-Ebshihy, A., Espinosa-Anke, L., Gonzalez-Saez, G., Galuščáková, P., Goeuriot, L. and Kochkina, E., 2023, April. LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. In European Conference on Information Retrieval (Vol. 13982, pp. 499-505). Springer Nature Switzerland. [pdf]
Bye, A., Carter, B., Leightley, D., Trevillion, K., Liakata, M., Branthonne-Foster, S., Williamson, G., Zenasni, Z. and Dutta, R., 2023, January. Observational prospective study of social media, smartphone use and self-harm in a clinical sample of young people: study protocol. BMJ open, 13(2), p.e069748. [pdf]
Leightley, D., Bye, A., Carter, B., Trevillion, K., Branthonne-Foster, S., Liakata, M., Wood, A., Ougrin, D., Orben, A., Ford, T. and Dutta, R., 2023, January. Maximizing the positive and minimizing the negative: Social media data to study youth mental health with informed consent. Frontiers Media SA. [pdf]
Kochkina, E., Hossain, T., Logan IV, R.L., Arana-Catania, M., Procter, R., Zubiaga, A., Singh, S., He, Y. and Liakata, M., 2023, January. Evaluating the generalisability of neural rumour verification models. Information Processing & Management, 60(1), p.103116. [pdf]

2022

Maufe, M., Ravenscroft, J., Procter, R., Liakata, M., 2022, December. A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. [pdf]
Song, J., Bilal, I.M., Tsakalidis, A., Procter R. and Liakata, M., 2022, December. Unsupervised Opinion Summarisation in the Wasserstein Space. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). [pdf] [talk]
Arana-Catania, M., Kochkina, E., Zubiaga, A., Liakata, M., Procter, R., He, Y., 2022, July. Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1496–1511, Seattle, United States. Association for Computational Linguistics. [pdf]
Zirikly, A., Atzil-Slonim, D., Liakata, M., Bedrick, S., Desmet, B., Ireland, M., Lee, A., MacAvaney, S., Purver, M., Resnik, R. and Yates, A., 2022, July. Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. [pdf]
Tsakalidis, A., Chim, J., Bilal, I.M., Zirikly, A., Atzil-Slonim, D., Nanni, F., Resnik, P., Gaur, M., Roy, K., Inkster, B. and Leintz, J., 2022, July. Overview of the CLPsych 2022 shared task: Capturing moments of change in longitudinal user posts. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology (pp. 184-198). [pdf]
Chakraborty, T., Akhtar, M.S., Shu, K., Bernard, H.R., Liakata, M., Nakov, P., Sharma, S., Sharma, C., Kumar, S., Atri, Y.K. and Masud, S., 2022, May. Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations. In Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations. [pdf]
Dougrez-Lewis, J., Kochkina, E., Arana-Catania, M., Liakata, M. and He, Y., 2022, May. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence. In Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER) (pp. 49-58). [pdf]
Tsakalidis, A., Nanni, F., Hills, A., Chim, J., Song, J. and Liakata, M., 2022, May. Identifying Moments of Change from Longitudinal User Text. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers, pages 4647 - 4660. [pdf]
Bilal, I.M., Wang, B., Tsakalidis, A., Nguyen, D., Procter, R. and Liakata, M., 2022. Template-based Abstractive Microblog Opinion Summarization. Transactions of the Association for Computational Linguistics, 10, pp.1229-1248. [pdf]

2021

Arana-Catania, M., Procter, R., He, Y. and Liakata, M., 2021, November. Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes. In Proceedings of the Third Workshop on New Frontiers in Summarization, pages 57–64, Online and in Dominican Republic. Association for Computational Linguistics. [pdf]
Peinelt, N., Rei, M. and Liakata, M., 2021, November. GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method. In Findings of the Association for Computational Linguistics: EMNLP 2021 (pp. 2322-2336). [pdf]
Alkhalifa, R., Kochkina, E. and Zubiaga, A., 2021, October. Opinions are made to be changed: Temporally adaptive stance classification. In Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (pp. 27-32). [pdf]
Gkoumas, D., Wang, B., Tsakalidis, A., Wolters, M., Zubiaga, A., Purver, M. and Liakata, M., 2021. A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis. arXiv preprint arXiv:2109.01537. [pdf]
Bilal, I.M., Wang, B., Liakata, M., Procter, R. and Tsakalidis, A., 2021, August. Evaluation of Thematic Coherence in Microblogs. In Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). [pdf] [talk]
Dougrez-Lewis, J., Liakata, M., Kochkina, E. and He, Y., 2021, August. Learning disentangled latent topics for twitter rumour veracity classification. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (pp. 3902-3908). [pdf]
Arana-Catania, M., Lier, F.A.V., Procter, R., Tkachenko, N., He, Y., Zubiaga, A. and Liakata, M., 2021, July. Citizen participation and machine learning for a better democracy. Digital Government: Research and Practice, 2(3), pp.1-22. [pdf]
Smeros, P., Rappaz, J., Bazzi, M., Kochkina, E., Liakata, M., Aberer, K., 2021, June. Mediate 2021: News Media and Computational Journalism Workshop. Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media. [pdf]
Tsakalidis, A., Atzil-Slonim, D., Polakovski, A., Shapira, N., Tuval-Mashiach, R. and Liakata, M., 2021, June. Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions. In Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access (pp. 122-128). [pdf]
Wang, B., Wu, Y., Vaci, N., Liakata, M., Lyons, T. and Saunders, K.E., 2021, June. Modelling paralinguistic properties in conversational speech to detect bipolar disorder and borderline personality disorder. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7243-7247). IEEE. [pdf]
Pergola, G., Kochkina, E., Gui, L., Liakata, M. and He, Y., 2021, April. Boosting low-resource biomedical qa via entity-aware masking strategies. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, pages 1977–1985. [pdf]
Ravenscroft, J., Cattan, A., Clare, A., Dagan, I. and Liakata, M., 2021, April. CD2CR: Co-reference Resolution Across Documents and Domains. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, pages 270-280. [pdf]

2020

Tsakalidis, A. and Liakata, M., 2020, November. Sequential modelling of the evolution of word representations for semantic change detection. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 8485-8497). [pdf]
Wang, B., Wu, Y., Taylor, N., Lyons, T., Liakata, M., Nevado-Holgado, A.J. and Saunders, K.E., 2020, October. Learning to detect bipolar disorder and borderline personality disorder with language and speech in non-clinical interviews. In Interspeech 2020: 437-441. [pdf]
Alkhalifa, R., Yoong, T., Kochkina, E., Zubiaga, A. and Liakata, M., 2020, September. QMUL-SDS at CheckThat! 2020: determining COVID-19 tweet check-worthiness using an enhanced CT-BERT with numeric expressions. Conference and Labs of the Evaluation Forum - CLEF CheckThat! Lab 2020. [pdf]
Lathiya, S., Dhobi, J.S., Zubiaga, A., Liakata, M. and Procter, R., 2020, September. Birds of a feather check together: Leveraging homophily for sequential rumour detection. Online Social Networks and Media, 19, p.100097. [pdf]
Nguyen, D., Liakata, M., DeDeo, S., Eisenstein, J., Mimno, D., Tromble, R. and Winters, J., 2020, August. How we do things with words: Analyzing text as social and cultural data. Frontiers in Artificial Intelligence, 3, p.62. [pdf]
Kochkina, E. and Liakata, M., 2020, July. Estimating predictive uncertainty for rumour verification models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 6964–6981, Online. Association for Computational Linguistics. [pdf]
Peinelt, N., Nguyen, D. and Liakata, M., 2020, July. Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification. arXiv preprint arXiv:2007.11314. [pdf]
Peinelt, N., Nguyen, D. and Liakata, M., 2020, July. tBERT: Topic models and BERT joining forces for semantic similarity detection. In Proceedings of the 58th annual meeting of the association for computational linguistics (pp. 7047-7055). [pdf]
Ravenscroft, J., Clare, A. and Liakata, M., 2020, July. Measuring prominence of scientific work in online news as a proxy for impact. arXiv preprint arXiv:2007.14454. [pdf]

Before 2020

Madabushi, H.T., Kochkina, E. and Castelle, M., 2019, November. Cost-sensitive BERT for generalisable sentence classification with imbalanced data. Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda (pp. 125-134). Association for Computational Linguistics, ACL. [pdf]
Wang, B., Liakata, M., Ni, H., Lyons, T., Nevado-Holgado, A.J. and Saunders, K., 2019, September. A path signature approach for speech emotion recognition. In Interspeech 2019 (pp. 1661-1665). ISCA. [pdf]
Peinelt, N., Liakata, M. and Nguyen, D., 2019, July. Aiming beyond the obvious: Identifying non-obvious cases in semantic similarity datasets. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 2792-2798). [pdf]
Tsakalidis, A., Liakata, M., Damoulas, T. and Cristea, A.I., 2018, September. Can we assess mental health through social media and smart devices? Addressing bias in methodology and evaluation. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 407-423). Springer, Cham. [pdf]
Peinelt, N., Liakata, M. and Hsieh, S.K., 2017, November. ClassifierGuesser: A context-based classifier prediction system for chinese language learners. In Proceedings of the IJCNLP 2017, System Demonstrations (pp. 41-44). [pdf]
Wang, B., Liakata, M., Tsakalidis, A., Kolaitis, S.G., Papadopoulos, S., Apostolidis, L., Zubiaga, A., Procter, R. and Kompatsiaris, Y., 2017, November. TOTEMSS: Topic-based, temporal sentiment summarisation for Twitter. In Proceedings of the IJCNLP 2017, System Demonstrations (pp. 21-24). [pdf]
Tsakalidis, A., Liakata, M., Damoulas, T., Jellinek, B., Guo, W. and Cristea, A., 2016, December. Combining heterogeneous user generated data to sense well-being. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 3007-3018). [pdf]

LongNLP

Queen Mary University of London

The Alan Turing Institute

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