Prof Maria Liakata
Professor of Natural Language Processing
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Natural Language Processing, Semantics & Discourse, Social Media, Machine Learning, BioNLP & NLP for Mental Health
Interests
Maria is a Professor in Natural Language Processing (NLP) at Queen Mary, University of London. She is in receipt of an EPSRC/UKRI Turing AI fellowship award on Creating Time Sensitive Sensors from Language & Heterogeneous User-Generated Content (2019-2025) https://www.turing.ac.uk/research/research-projects/time-... .Maria has a DPhil from the University of Oxford on learning pragmatic knowledge from text. Her work has contributed to advances in knowledge discovery from corpora, automation of scientific experimentation and automatic extraction of information from the scientific literature. She has published widely both in NLP and interdisciplinary venues. Past awards include an IBM Faculty Award for work on emotion sensing from heterogeneous mobile phone data, being a co-investigator on the EU Project PHEME, which studied the spread of rumours in social media (2014-2017) and an Early Career Fellowship from the Leverhulme Trust (2010-2013) on reasoning with scientific articles.
Publications
Publications of specific relevance to the Centre for Human-Centred Computing2024
Chim J, Ive J and Liakata M (2024). Evaluating Synthetic Data Generation from User Generated Text. Computational Linguistics, MIT Press, 1-44. 27-09-2024
Bye A, Carter B, Leightley D, Trevillion K, Liakata M, Branthonne-Foster S, Cross S, Zenasni Z, Carr E, Williamson G, Viyuela AV and Dutta R (2024). Cohort profile: The Social media, smartphone use and Self-harm in Young People (3S-YP) study–A prospective, observational cohort study of young people in contact with mental health services. PLOS ONE, Public Library of Science (PLoS) vol. 19 (5) 22-05-2024
Gkoumas D, Wang B, Tsakalidis A, Wolters M, Purver M, Zubiaga A and Liakata M (2024). A longitudinal multi-modal dataset for dementia monitoring and diagnosis. Language Resources and Evaluation, Springer Nature, 1-20. 30-03-2024
Alkhalifa R, Borkakoty H, Deveaud R, El-Ebshihy A, Espinosa-Anke L, Fink T, Galuščáková P, Gonzalez-Saez G, Goeuriot L, Iommi D, Liakata M, Madabushi HT, Medina-Alias P, Mulhem P, Piroi F, Popel M and Zubiaga A (2024). Extended overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. 01-01-2024
Hills A, Tseriotou T, Miscouridou X, Tsakalidis A and Liakata M (2024). Exciting Mood Changes: A Time-aware Hierarchical Transformer for Change Detection Modelling. 01-01-2024
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. 01-01-2024
Alkhalifa R, Borkakoty H, Deveaud R, El-Ebshihy A, Espinosa-Anke L, Fink T, Galuščáková P, Gonzalez-Saez G, Goeuriot L, Iommi D, Liakata M, Madabushi HT, Medina-Alias P, Mulhem P, Piroi F, Popel M and Zubiaga A (2024). Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. 01-01-2024
König A and Liakata M (2024). Message from the General Chair. 5th RaPID Workshop: Resources and Processing of Linguistic, Para-Linguistic and Extra-Linguistic Data from People with Various Forms of Cognitive/Psychiatric/Developmental Impairments, RAPID 2024 at LREC-COLING 2024 - Workshop Proceedings 01-01-2024
Zhu Y, Liakata M and Montana G (2024). A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports. 01-01-2024
Dougrez-Lewis J, Kochkina E, Liakata M and He Y (2024). Knowledge Graphs for Real-World Rumour Verification. 01-01-2024
Alkhalifa R, Borkakoty H, Deveaud R, El-Ebshihy A, Espinosa-Anke L, Fink T, Gonzalez-Saez G, Galuščáková P, Goeuriot L, Iommi D, Liakata M, Madabushi HT, Medina-Alias P, Mulhem P, Piroi F, Popel M, Servan C and Zubiaga A (2024). LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024. Advances in Information Retrieval 60-66. 01-01-2024
Tseriotou T, Chan RSY, Tsakalidis A, Bilal IM, Kochkina E, Lyons T and Liakata M (2024). Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling. 01-01-2024
Chim J, Tsakalidis A, Gkoumas D, Atzil-Slonim D, Ophir Y, Zirikly A, Resnik P and Liakata M (2024). Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts. 01-01-2024
2023
Cid YD, 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 CE, Goh V and Montana G (2023). Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study. The Lancet Digital Health, Elsevier vol. 6 (JAMA Netw Open 2 2019), e44-e57. 08-12-2023
Kochkina E, Hossain T, Logan RL, Arana-Catania M, Procter R, Zubiaga A, Singh S, He Y and Liakata M (2023). Evaluating the generalisability of neural rumour verification models. Information Processing and Management, Elsevier vol. 60 (1) 26-10-2023
Bye A, Carter B, Leightley D, Trevillion K, Liakata M, Branthonne-Foster S, Williamson G, Zenasni Z and Dutta R (2023). Observational prospective study of social media, smartphone use and self-harm in a clinical sample of young people: study protocol. BMJ Open, BMJ vol. 13 (2) 01-02-2023
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). Maximizing the positive and minimizing the negative: Social media data to study youth mental health with informed consent. Frontiers in Psychiatry, Frontiers vol. 13 10-01-2023
Alkhalifa R, Bilal I, Borkakoty H, Camacho-Collados J, Deveaud R, El-Ebshihy A, Espinosa-Anke L, Gonzalez-Saez G, Galuščáková P, Goeuriot L, Kochkina E, Liakata M, Loureiro D, Tayyar Madabushi H, Mulhem P, Piroi F, Popel M, Servan C and Zubiaga A (2023). LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. Advances in Information Retrieval 499-505. 01-01-2023
Zhao R, Arana-Catania M, Zhu L, Kochkina E, Gui L, Zubiaga A, Procter R, Liakata M and He Y (2023). PANACEA: An Automated Misinformation Detection System on COVID-19. The 17th Conference of the European Chapter of the Association for Computational. 01-01-2023
Hills A, Tsakalidis A, Nanni F, Zachos I and Liakata M (2023). Creation and evaluation of timelines for longitudinal user posts. 01-01-2023
Tseriotou T, Tsakalidis A, Foster P, Lyons T and Liakata M (2023). Sequential Path Signature Networks for Personalised Longitudinal Language Modeling. Findings of the Association for Computational Linguistics: ACL 2023. 01-01-2023
Gkoumas D, Tsakalidis A and Liakata M (2023). A Digital Language Coherence Marker for Monitoring Dementia. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 01-01-2023
Hills A, Tsakalidis A and Liakata M (2023). Time-Aware Predictions of Moments of Change in Longitudinal User Posts on Social Media. Advanced Analytics and Learning on Temporal Data 293-305. 01-01-2023
Alkhalifa R, Bilal I, Borkakoty H, Camacho-Collados J, Deveaud R, El-Ebshihy A, Espinosa-Anke L, Gonzalez-Saez G, Galuščáková P, Goeuriot L, Kochkina E, Liakata M, Loureiro D, Mulhem P, Piroi F, Popel M, Servan C, Tayyar Madabushi H and Zubiaga A (2023). Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. Experimental IR Meets Multilinguality, Multimodality, and Interaction 440-458. 01-01-2023
Alkhalifa R, Bilal I, Borkakoty H, Camacho-Collados J, Deveaud R, El-Ebshihy A, Espinosa-Anke L, Gonzalez-Saez G, Galuščáková P, Goeuriot L, Kochkina E, Liakata M, Loureiro D, Mulhem P, Piroi F, Popel M, Servan C, Madabushi HT and Zubiaga A (2023). Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. 01-01-2023
Gkoumas D, Purver M and Liakata M (2023). Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 01-01-2023
2022
Bilal IM, 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, MIT Press vol. 10, 1229-1248. 22-11-2022
Dougrez-Lewis J, Kochkina E, Arana-Catania M, Liakata M and He Y (2022). PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence. Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER). 01-01-2022
Tsakalidis A, Nanni F, Hills A, Chim J, Song J and Liakata M (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). 01-01-2022
Arana-Catania M, Kochkina E, Zubiaga A, Liakata M, Procter R and He Y (2022). Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 01-01-2022
Tsakalidis A, Chim J, Bilal IM, Zirikly A, Atzil-Slonim D, Nanni F, Resnik P, Gaur M, Roy K, Inkster B, Leintz J and Liakata M (2022). Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts. Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. 01-01-2022
Chakraborty T, Akhtar MS, Shu K, Bernard HR, Liakata M and Nakov P (2022). Preface. CONSTRAINT 2022 - 2nd Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation, Proceedings of the Workshop, II-III. 01-01-2022
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). Introduction. 01-01-2022
Song J, Bilal IM, Tsakalidis A, Procter R and Liakata M (2022). Unsupervised Opinion Summarisation in the Wasserstein Space. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 01-01-2022
Maufe M, Ravenscroft J, Procter R and Liakata M (2022). A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 01-01-2022
2021
Morgan SE, Diederen K, Vértes PE, Ip SHY, Wang B, Thompson B, Demjaha A, De Micheli A, Oliver D, Liakata M, Fusar-Poli P, Spencer TJ and McGuire P (2021). Natural Language Processing markers in first episode psychosis and people at clinical high-risk. Translational Psychiatry, Springer Nature vol. 11 (1) 13-12-2021
Procter R, Arana-Catania M, van Lier F-A, Tkachenko N, He Y, Zubiaga A and Liakata M (2021). Citizen Participation and Machine Learning for a Better Democracy. Digital Government Research and Practice vol. 2 (3), 1-22. 01-07-2021
Wang B, Wu Y, Vaci N, Liakata M, Lyons T and Saunders KEA (2021). Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 11-06-2021
Pergola G, Kochkina E, Gui L, Liakata M and He Y (2021). 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: Main Volume. 01-01-2021
Ravenscroft J, Cattan A, Clare A, Dagan I and Liakata M (2021). CD2CR: Co-reference resolution across documents and domains. 01-01-2021
Tsakalidis A, Atzil-Slonim D, Polakovski A, Shapira N, Tuval-Mashiach R and Liakata M (2021). Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions. Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access. 01-01-2021
Dougrez-Lewis J, Liakata M, Kochkina E and He Y (2021). Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 01-01-2021
Bilal IM, Wang B, Liakata M, Procter R and Tsakalidis A (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 (Volume 1: Long Papers). 01-01-2021
Ravenscroft J, Clare A, Cattan A, Dagan I and Liakata M (2021). CDˆ2CR: Co-reference resolution across documents and domains. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 01-01-2021
Arana-Catania M, Procter R, He Y and Liakata M (2021). Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes. Proceedings of the Third Workshop on New Frontiers in Summarization. 01-01-2021
Peinelt N, Rei M and Liakata M (2021). GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method. Findings of the Association for Computational Linguistics: EMNLP 2021. 01-01-2021
2020
Wang B, Wu Y, Taylor N, Lyons T, Liakata M, Nevado-Holgado AJ and Saunders KEA (2020). Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews. Interspeech 2020. 25-10-2020
Lathiya S, Dhobi JS, Zubiaga A, Liakata M and Procter R (2020). Birds of a feather check together: Leveraging homophily for sequential rumour detection. Online Social Media and Networks, Elsevier vol. 19 08-09-2020
Nguyen D, Liakata M, DeDeo S, Eisenstein J, Mimno D, Tromble R and Winters J (2020). How We Do Things With Words: Analyzing Text as Social and Cultural Data. Frontiers in Artificial Intelligence, Frontiers vol. 3 25-08-2020
Peinelt N, Nguyen D and Liakata M (2020). tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 01-01-2020
Kochkina E and Liakata M (2020). Estimating predictive uncertainty for rumour verification models. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 01-01-2020
Alkhalifa R, Yoong T, Kochkina E, Zubiaga A and Liakata M (2020). QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions. 01-01-2020
Alkhalifa R, Tsakalidis A, Zubiaga A and Liakata M (2020). QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian. 01-01-2020
Tsakalidis A and Liakata M (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 (EMNLP). 01-01-2020
2019
Zubiaga A, Wang B, Liakata M and Procter R (2019). Political Homophily in Independence Movements: Analyzing and Classifying Social Media Users by National Identity. IEEE Intelligent Systems, Institute of Electrical and Electronics Engineers vol. 34 (6), 34-42. 01-11-2019
Liakata M and Vlachos A (2019). Preface. Proceedings of the Conference for Truth and Trust Online 2019. 05-10-2019
Wang B, Liakata M, Ni H, Lyons T, Nevado-Holgado AJ and Saunders K (2019). A Path Signature Approach for Speech Emotion Recognition. Interspeech 2019. 15-09-2019
Lukasik M, Bontcheva K, Cohn T, Zubiaga A, Liakata M and Procter R (2019). Gaussian processes for rumour stance classification in social media. ACM Transactions on Information Systems vol. 37 (2) 01-02-2019
Guo W, Liakata M, Mosquera G, Qi W, Deng J and Zhang J (2019). Big Data Methods for Ultra‐dense Network Deployment. Ultra-dense Networks for 5G and Beyond 203-230. 01-02-2019
Guo W, Liakata M, Mosquera G, Qi W, Deng J and Zhang J (2019). Big data methods for ultra-dense network deployment. Ultra-Dense Networks for 5G and Beyond: Modelling, Analysis, and Applications 205-230. 01-02-2019
Tsakalidis A, Liakata M, Damoulas T and Cristea AI (2019). Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. 01-01-2019
Peinelt N, Liakata M and Nguyen D (2019). Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 01-01-2019
Gorrell G, Kochkina E, Liakata M, Aker A, Zubiaga A, Bontcheva K and Derczynski L (2019). SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours. Proceedings of the 13th International Workshop on Semantic Evaluation. 01-01-2019
Gorrell G, Kochkina E, Liakata M, Aker A, Zubiaga A, Bontcheva K and Derczynski L (2019). RumourEval 2019: Determining rumour veracity and support for rumours. 01-01-2019
2018
Velupillai S, Suominen H, Liakata M, Roberts A, Shah AD, Morley K, Osborn D, Hayes J, Stewart R, Downs J, Chapman W and Dutta R (2018). Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. Journal of Biomedical Informatics, Elsevier vol. 88, 11-19. 24-10-2018
Tsakalidis A, Aletras N, Cristea AI and Liakata M (2018). Nowcasting the Stance of Social Media Users in a Sudden Vote. Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 17-10-2018
Tsakalidis A, Papadopoulos S, Voskaki R, Ioannidou K, Boididou C, Cristea AI, Liakata M and Kompatsiaris Y (2018). Building and evaluating resources for sentiment analysis in the Greek language. Language Resources and Evaluation, Springer Nature vol. 52 (4), 1021-1044. 14-07-2018
Zubiaga A, Kochkina E, Liakata M, Procter R, Lukasik M, Bontcheva K, Cohn T and Augenstein I (2018). Discourse-aware rumour stance classification in social media using sequential classifiers. Information Processing and Management vol. 54 (2), 273-290. 01-03-2018
Zubiaga A, Aker A, Bontcheva K, Liakata M and Procter R (2018). Detection and resolution of rumours in social media: A survey. ACM Computing Surveys vol. 51 (2) 01-02-2018
Tolmie P, Procter R, Rouncefield M, Liakata M and Zubiaga A (2018). Microblog Analysis as a Program of Work. ACM Transactions on Social Computing, Association for Computing Machinery (ACM) vol. 1 (1), 1-40. 18-01-2018
Kochkina E, Liakata M and Zubiaga A (2018). All-in-one: Multi-task learning for rumour verification. 01-01-2018
Ravenscroft J, Clare A and Liakata M (2018). HarriGT: A Tool for Linking News to Science. Proceedings of ACL 2018, System Demonstrations. 01-01-2018
Ravenscroft J, Clare A and Liakata M (2018). HarriGT: Linking news articles to scientific literature. 01-01-2018
2017
Zubiaga A, Liakata M and Procter R (2017). Exploiting context for rumour detection in social media. International Conference on Social Informatics. 01-09-2017
Zubiaga A, Voss A, Procter R, Liakata M, Wang B and Tsakalidis A (2017). Towards Real-Time, Country-Level Location Classification of Worldwide Tweets. IEEE Transactions on Knowledge and Data Engineering vol. 29 (9), 2053-2066. 01-09-2017
Wang B, Liakata M, Zubiaga A and Procter R (2017). A hierarchical topic modelling approach for tweet clustering. International Conference on Social Informatics. 01-09-2017
Aker A, Zubiaga A, Bontcheva K, Kolliakou A, Procter R and Liakata M (2017). Stance classification in out-of-domain rumours: A case study around mental health disorders. International Conference on Social Informatics. 01-09-2017
Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJP, Dobson RJB and Dutta R (2017). Erratum: Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning. Scientific Reports, Springer Nature vol. 7 (1) 16-05-2017
Tolmie P, Procter R, Randall DW, Rouncefield M, Burger C, Hoi GWS, Zubiaga A and Liakata M (2017). Supporting the Use of User Generated Content in Journalistic Practice. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 02-05-2017
Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJP, Dobson RJB and Dutta R (2017). Characterisation of mental health conditions in social media using Informed Deep Learning. Scientific Reports, Springer Nature vol. 7 (1) 22-03-2017
Ravenscroft J, Liakata M, Clare A and Duma D (2017). Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements. PLOS ONE, Public Library of Science (PLoS) vol. 12 (3) 09-03-2017
Chesney S, Liakata M, Poesio M and Purver M (2017). Incongruent Headlines: Yet Another Way to Mislead Your Readers. Proceedings of the 2017 EMNLP Workshop: Natural Language Processing
meets Journalism. 01-01-2017
Wang B, Liakata M, Zubiaga A and Procter R (2017). TDParse: Multi-target-specific sentiment recognition on Twitter. Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 1, Long Papers. 01-01-2017
Derczynski L, Bontcheva K, Liakata M, Procter R, Wong Sak Hoi G and Zubiaga A (2017). SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours. Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017). 01-01-2017
Kochkina E, Liakata M and Augenstein I (2017). Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM. Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017). 01-01-2017
Wang B, Liakata M, Tsakalidis A, Kolaitis SG, Papadopoulos S, Apostolidis L, Zubiaga A, Procter R and Kompatsiaris Y (2017). TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter. 01-01-2017
Peinelt N, Liakata M and Hsieh SK (2017). ClassifierGuesser: A Context-based Classifier Prediction System for Chinese Language Learners. 01-01-2017
2016
Duma D, Liakata M, Clare A, Ravenscroft J and Klein E (2016). Rhetorical Classification of Anchor Text for Citation Recommendation. D-Lib Magazine, CNRI Acct vol. 22 (9/10) 01-09-2016
Zubiaga A, Liakata M, Procter R, Hoi GWS and Tolmie P (2016). Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads. PLOS ONE, Public Library of Science (PLoS) vol. 11 (3) 04-03-2016
Ravenscroft J, Oellrich A, Saha S and Liakata M (2016). Multi-label annotation in scientific articles - The multi-label cancer risk assessment corpus. 01-01-2016
Zubiaga A, Kochkina E, Liakata M, Procter R and Lukasik M (2016). Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations. 01-01-2016
Wang B, Liakata M, Zubiaga A, Procter R and Jensen E (2016). SMILE: Twitter emotion classification using domain adaptation. 01-01-2016
Saeidi M, Bouchard G, Liakata M and Riedel S (2016). SentiHood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. 01-01-2016
Tsakalidis A, Liakata M, Damoulas T, Jellinek B, Guo W and Cristea AI (2016). Combining heterogeneous user generated data to sense well-being. 01-01-2016
Jeffryes M, Liakata M and Bateman A (2016). Crowdsourcing protein family database curation. 01-01-2016
Duma D, Liakata M, Clare A, Ravenscroft J and Klein E (2016). Applying core scientific concepts to context-based citation recommendation. 01-01-2016
Gurumdimma N, Jhumka A, Liakata M, Chuah E and Browne J (2016). CRUDE: Combining Resource Usage Data and Error Logs for Accurate Error Detection in Large-Scale Distributed Systems. 2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS). 01-01-2016
Gkotsis G, Oellrich A, Hubbard T, Dobson R, Liakata M, Velupillai S and Dutta R (2016). The language of mental health problems in social media. Proceedings of the Third Workshop on Computational Lingusitics and
Clinical Psychology. 01-01-2016
Gkotsis G, Velupillai S, Oellrich A, Dean H, Liakata M and Dutta R (2016). Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records. Proceedings of the Third Workshop on Computational Lingusitics and
Clinical Psychology. 01-01-2016
2015
Li C and Liakata M (2015). Bio-event definition in text mining towards event interconnection. BMC Proceedings, Springer Nature vol. 9 (Suppl 5) 06-08-2015
Gurumdimma N, Jhumka A, Liakata M, Chuah E and Browne J (2015). Towards Increasing the Error Handling Time Window in Large-Scale Distributed Systems Using Console and Resource Usage Logs. 2015 IEEE Trustcom/BigDataSE/ISPA. 01-08-2015
Zubiaga A, Liakata M, Procter R, Bontcheva K and Tolmie P (2015). Crowdsourcing the Annotation of Rumourous Conversations in Social Media. Proceedings of the 24th International Conference on World Wide Web. 18-05-2015
Bontcheva K, Liakata M, Procter R and Scharl A (2015). Session details: RDSM 2015. Proceedings of the 24th International Conference on World Wide Web. 18-05-2015
Gurumdimma N, Jhumka A, Liakata M, Chuah E and Browne J (2015). Towards Detecting Patterns in Failure Logs of Large-Scale Distributed Systems. 2015 IEEE International Parallel and Distributed Processing Symposium Workshop. 01-05-2015
Zubiaga A, Liakata M, Procter R, Bontcheva K and Tolmie P (2015). Towards detecting rumours in social media. 01-01-2015
Wang B, Zubiaga A, Liakata M and Procter R (2015). Making the most of tweet-inherent features for social spam detection on twitter. 01-01-2015
Ravenscroft J, Clare A and Liakata M (2015). HarriGT: Linking news articles to scientific literature. 01-01-2015
Townsend R, Tsakalidis A, Zhou Y, Wang B, Liakata M, Zubiaga A, Cristea A and Procter R (2015). WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015). 01-01-2015
Li C, Song R, Liakata M, Vlachos A, Seneff S and Zhang X (2015). Using word embedding for bio-event extraction. Proceedings of BioNLP 15. 01-01-2015
2014
Gkotsis G, Stepanyan K, Pedrinaci C, Domingue J and Liakata M (2014). It's all in the content. Proceedings of the 2014 ACM conference on Web science. 23-06-2014
Townsend R, Kalair A, Kulkarni O, Procter R and Liakata M (2014). University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014). 01-01-2014
2013
Scott IM, Lin W, Liakata M, Wood JE, Vermeer CP, Allaway D, Ward JL, Draper J, Beale MH, Corol DI, Baker JM and King RD (2013). Merits of random forests emerge in evaluation of chemometric classifiers by external validation. Analytica Chimica Acta, Elsevier vol. 801, 22-33. 23-09-2013
Li C, Liakata M and Rebholz-Schuhmann D (2013). Biological network extraction from scientific literature: state of the art and challenges. Briefings in Bioinformatics, Oxford University Press (OUP) vol. 15 (5), 856-877. 22-02-2013
Boyce RD, Horn JR, Hassanzadeh O, De Waard A, Schneider J, Luciano JS, Rastegar-Mojarad M and Liakata M (2013). Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness. Journal of Biomedical Semantics, Springer Nature vol. 4 (1) 01-01-2013
Liakata M, Dobnik S, Saha S, Batchelor C and Rebholz-Schuhmann D (2013). A discourse-driven content model for summarising scientific articles evaluated in a complex question answering task. 01-01-2013
Ravenscroft J, Liakata M and Clare A (2013). Partridge: An Effective System for the Automatic Cassification of the Types of Academic Papers. Research and Development in Intelligent Systems XXX 351-358. 01-01-2013
2012
Liakata M, Saha S, Dobnik S, Batchelor C and Rebholz-Schuhmann D (2012). Automatic recognition of conceptualization zones in scientific articles and two life science applications. Bioinformatics, Oxford University Press (OUP) vol. 28 (7), 991-1000. 08-02-2012
Liakata M, Kim J-H, Saha S, Hastings J and Rebholz-Schuhmann D (2012). Three Hybrid Classifiers for the Detection of Emotions in Suicide Notes. Biomedical Informatics Insights, SAGE Publications vol. 5s1 (Suppl 1) 01-01-2012
2011
King RD, Liakata M, Lu C, Oliver SG and Soldatova LN (2011). On the formalization and reuse of scientific research. Journal of The Royal Society Interface, The Royal Society vol. 8 (63), 1440-1448. 13-04-2011
Guo Y, Korhonen A, Liakata M, Silins I, Hogberg J and Stenius U (2011). A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment. BMC Bioinformatics, Springer Nature vol. 12 (1) 08-03-2011
Clare A, Croset S, Grabmueller C, Kafkas S, Liakata M, Oellrich A and Rebholz-Schuhmann D (2011). Exploring the generation and integration of publishable scientific facts using the concept of nano-publications. 01-01-2011
2010
Scott IM, Vermeer CP, Liakata M, Corol DI, Ward JL, Lin W, Johnson HE, Whitehead L, Kular B, Baker JM, Walsh S, Dave A, Larson TR, Graham IA, Wang TL, King RD, Draper J and Beale MH (2010). Enhancement of Plant Metabolite Fingerprinting by Machine Learning. Plant Physiology, Oxford University Press (OUP) vol. 153 (4), 1506-1520. 21-06-2010
Sparkes A, King RD, Aubrey W, Benway M, Byrne E, Clare A, Liakata M, Markham M, Whelan KE, Young M and Rowland J (2010). An Integrated Laboratory Robotic System for Autonomous Discovery of Gene Function. SLAS TECHNOLOGY, SAGE Publications vol. 15 (1), 33-40. 01-02-2010
Liakata M, Teufel S, Siddharthan A and Batchelor C (2010). Corpora for conceptualisation and zoning of scientific papers. 01-01-2010
Sparkes A, Aubrey W, Byrne E, Clare A, Khan MN, Liakata M, Markham M, Rowland J, Soldatova LN, Whelan KE, Young M and King RD (2010). Towards Robot Scientists for autonomous scientific discovery. Automated Experimentation, Springer Nature vol. 2 (1) 01-01-2010
Guo Y, Silins I, Korhonen A, Sun L, Liakata M and Stenius U (2010). Identifying the information structure of scientific abstracts: An investigation of three different schemes. 01-01-2010
2009
King RD, Rowland J, Oliver SG, Young M, Aubrey W, Byrne E, Liakata M, Markham M, Pir P, Soldatova LN, Sparkes A, Whelan KE and Clare A (2009). Make Way for Robot Scientists. Science, American Association for the Advancement of Science (AAAS) vol. 325 (5943), 945-945. 20-08-2009
King RD, Rowland J, Aubrey W, Liakata M, Markham M, Soldatova LN, Whelan KE, Clare A, Young M, Sparkes A, Oliver SG and Pir P (2009). The Robot Scientist Adam. Computer, Institute of Electrical and Electronics Engineers (IEEE) vol. 42 (8), 46-54. 01-08-2009
King RD, Rowland J, Oliver SG, Young M, Aubrey W, Byrne E, Liakata M, Markham M, Pir P, Soldatova LN, Sparkes A, Whelan KE and Clare A (2009). The Automation of Science. Science, American Association for the Advancement of Science (AAAS) vol. 324 (5923), 85-89. 03-04-2009
Liakata M, Q C and Soldatova LN (2009). Semantic annotation of papers. Proceedings of the Workshop on BioNLP - BioNLP '09. 01-01-2009
Liakata M, Claire CQ and Soldatova LN (2009). Semantic Annotation of Papers: Interface & Enrichment Tool (SAPIENT). 01-01-2009
2008
Liakata M and Pulman S (2008). Automatic fine-grained semantic classification for domain adaptation. Proceedings of the 2008 Conference on Semantics in Text Processing - STEP '08. 01-01-2008
2005
2004
Liakata M and Pulman S (2004). Learning theories from text. Proceedings of the 20th international conference on Computational Linguistics - COLING '04. 01-01-2004
2002
Liakata M and Pulman S (2002). From trees to predicate-argument structures. Proceedings of the 19th international conference on Computational linguistics -. 01-01-2002
2000
Demiros I, Boutsis S, Giouli V, Liakata M, Papageorgiou H and Piperidis S (2000). Named entity recognition in Greek texts. 01-01-2000
Boutsis S, Demiros I, Giouli V, Liakata M, Papageorgiou H and Piperidis S (2000). A System for Recognition of Named Entities in Greek. 01-01-2000
Grants
Grants of specific relevance to the Centre for Human-Centred ComputingAddressing socio-technical limitations of LLMs for medical and social computingMaria Liakata, Julia Ive, Matthew Purver, Michael Schlichtkrull, Claude Chelala and Gregory Slabaugh
£1,799,332 EPSRC Engineering and Physical Sciences Research Council (01-05-2024 - 31-03-2028)
DCE CDT EngD Studentship - Joseph BoyleMaria Liakata
£50,000 CANON MEDICAL RESEARCH EUROPE LIMITED (01-01-2024 - 31-12-2028)
The environment and eating disorders: developing novel measures, approaches, and hypotheses throughMaria Liakata
£66,281 MRC Medical Research Council (01-10-2023 - 30-09-2026)
Fellowship: Creating time sensitive sensors from language & heterogeneous UGCMaria Liakata
£1,132,956 Alan Turing Institute, The (01-04-2020 - 31-03-2025)
Building Transparent AISystems Explaining their Decisions in NaturalLanguage for Social ApplicationsJulia Ive and Maria Liakata
£30,000 Alan Turing Institute, The (01-09-2022 - 28-02-2023)
Social media, Smartphone use and Self harm in Young People (3S-YP study)Maria Liakata
£3,628 MRC Medical Research Council (01-01-2021 - 31-08-2024)
Mobile Sensing of Altered EveryDay Function in Early Alzheimer’s Disease (Maria Liakata)Maria Liakata
£117,912 Wellcome Trust (01-09-2020 - 01-12-2023)