(find me in scholar)

publications in proceedings of peer-reviewed venues

• Pavlopoulos, J., Vardakas, G., Likas, A. (2024). Revisiting Silhouette Aggregation. In the 27th International Conference on Discovery Science 2024. Pisa, Italy. (BEST PAPER, a preprint is present: arXiv:2401.05831).

• Pavlopoulos, J., Louridas, P., & Filos, P. (2024). Towards a Greek Proverb Atlas: A Computational Spatial Exploration and Attribution of Greek Proverbs. (To appear) In the Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, USA. Related preprint: https://www.researchsquare.com/article/rs-3360387/v4

• Randl, K., Pavlopoulos, J., Henriksson, A., & Lindgren, T. (2024). Evaluating the Reliability of Self-Explanations in Large Language Models. In International Conference on Discovery Science (to appear). Cham: Springer Nature Switzerland. Related preprint: arXiv preprint arXiv:2407.14487.

• De Gregorio, G., Ferretti, L., Pena, R. C., Marthot-Santaniello, I., Konstantinidou, M., & Pavlopoulos, J. (2024, August). A New Framework for Error Analysis in Computational Paleographic Dating of Greek Papyri. In International Conference on Document Analysis and Recognition (pp. 102-118). Cham: Springer Nature Switzerland.

• Pavlopoulos, J., Kougia, V., Arias, E.G., Platanou, P., Shabalin, S., Liagkou, K., Papadatos, E., Essler, H., Camps, J.B. and Fischer, F., 2024. Challenging Error Correction in Recognised Byzantine Greek. In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) (pp. 1-12). (BEST PAPER)

• Konstantinidou, M., Pavlopoulos, J., & Barker, E. (2024, August). Exploring intertextuality across the Homeric poems through language models. In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) (pp. 260-268).

• Pavlopoulos J. and Likas A., 2024. Polarized Opinion Detection Improves the Detection of Toxic Language. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), Malta, pp. 1946–1958. https://aclanthology.org/2024.eacl-long.117 (slides, poster, video)

• Pavlopoulos J., Kougia V., Platanou P. and Essler H., 2023. Detecting Erroneous Handwritten Byzantine Text Recognition. In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore (slides; accepted manuscript)

• Liagkou K., Pavlopoulos J., Machotka E. 2023. Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes. In Proceedings of the 26th International Conference of Discovery Science. Porto, Portugal (accepted manuscript)

• Pavlopoulos J., Konstantinidou M., Vardakas G., Marthot-Santaniello I., Perdiki E., Koutsianos D., Likas A., Essler H., 2023. Explaining the Chronological Attribution of Greek Papyri Images. In Proceedings of the 26th International Conference of Discovery Science. Porto, Portugal (accepted manuscript).

• Pavlopoulos, J., Konstantinidou, M., Marthot-Santaniello, I., Essler, H., & Paparigopoulou, A., 2023. Dating Greek Papyri with Text Regression. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 10001-10013. https://aclanthology.org/2023.acl-long.556 (video).

• Dritsa, K., Thoma, A., Pavlopoulos, I. and Louridas, P., 2022. A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis. Advances in Neural Information Processing Systems, 35, pp.28874-28888.

• Zonios, C., Pavlopoulos, J., Likas, A., 2022. Transformer-Based Music Language Modelling and Transcription. In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN ‘22). https://doi.org/10.1145/3549737.3549754.

• Platanou, V., Pavlopoulos, J., Papaioannou, G., 2022. Handwritten Paleographic Greek Text Recognition: a Century-Based Approach. In Proceedings of the Language Resources and Evaluation Conference (LREC). Marseille, France and online, June 2022.

• Pavlopoulos, J., Xenos, A., Picca, A., 2022. Annotating the Sentiment of Homeric Text. In Proceedings of the Language Resources and Evaluation Conference (LREC). Marseille, France and online, June 2022.

• Liagkou, K., Pavlopoulos, J., Machotka, E., 2022. A Study of Distant Viewing of ukiyo-e prints. In Proceedings of the Language Resources and Evaluation Conference (LREC). Marseille, France and online, June 2022.

• Chatzipanagiotou, M., Machotka, E., Pavlopoulos, J., 2021. Automated recognition of geographical named entities in titles of Ukiyo-e prints. In Digital Humanities Workshop (DHW 2021). Association for Computing Machinery, New York, NY, USA, 70–77. DOI:https://doi.org/10.1145/3526242.3526254

• Fasoi, M., Pavlopoulos, J., Konstantinidou, M., 2021. Computational Authorship Analysis of Homeric Language. In Digital Humanities Workshop (DHW 2021). Association for Computing Machinery, New York, NY, USA, 78–88. DOI:https://doi.org/10.1145/3526242.3526256

• Pavlopoulos, J., Laugier, L., Xenos, A., Sorensen, J., Androutsopoulos, I., 2022. From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer. In Proceedings of the Association for Computational Linguistics. To be held in Dublin, Ireland, U.K. and online, May 2022.

• Ljungman, J., Lislevand, V., Pavlopoulos, J., Farazouli, A., Lee, Z., Papapetrou, P., Fors, U., 2021. Automated Grading of Exam Responses: An Extensive Classification Benchmark. In International Conference on Discovery Science. Springer, Cham. pp. 3-18.

• Miliou, I., Pavlopoulos, J., Papapetrou, P., 2021. Sentiment Nowcasting During the COVID-19 Pandemic. In International Conference on Discovery Science, pp. 218-228 (link).

• Ljungman, J. and Lislevand, V. and Pavlopoulos, J. and Farazouli, A. and Lee, Z. and Papapetrou, P. and Fors, U., 2021. Automated Grading of Exam Responses: An Extensive Classification Benchmark. In International Conference on Discovery Science, pp. 3-18.

• Kougia, V. and Pavlopoulos, J., 2021. Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes. In the 5th Workshop on Online Abuse and Harms (WOAH 2021), pp. 220-225

• Xenos, A. and Pavlopoulos, J. and Androutsopoulos, I., 2021. Context sensitivity estimation in toxicity detection. In the 5th Workshop on Online Abuse and Harms (WOAH 2021), pp. 140-145.

• Pavlopoulos, J., Sorensen, J., Laugier, L. and Androutsopoulos, I., 2021, August. SemEval-2021 task 5: Toxic spans detection. In Proceedings of the 15th international workshop on semantic evaluation (SemEval-2021) (pp. 59-69).

• Kougia, V., Pavlopoulos, J., Papapetrou, P. and Gordon, M., 2021. RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography exams. Journal of the American Medical Informatics Association, 28(8), pp.1651-1659.

• Pavlopoulos, J. and Papapetrou, P., 2021. Customized Neural Predictive Medical Text: A Use-Case on Caregivers. In Artificial Intelligence in Medicine: 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings (pp. 438-443). Springer International Publishing.

• Laugier, L., Pavlopoulos, J., Sorensen, J. and Dixon, L., 2021. Civil rephrases of toxic texts with self-supervised transformers. arXiv preprint arXiv:2102.05456.

• Korre, K. and Chatzipanagiotou, M. and Pavlopoulos, J., 2021. ELERRANT: Automatic Grammatical Error Type Classification for Greek. In RANLP, pp. 708-717.

• Korre, K. and Pavlopoulos, J., 2020. ERRANT: Assessing and Improving Grammatical Error TypeClassification. In LaTeCH-CLfL.

• Pavlopoulos, J. and Papapetrou P., 2020. Clinical Predictive Keyboard using Statistical and Neural Language Modeling. In CBMS.

• Pavlopoulos, J. and Sorensen, J. and Dixon, L. and Thain, N. and Androutsopoulos, I., 2020. Toxicity Detection: Does Context Really Matter? In ACL.

• Kouyia V., Pavlopoulos, J. and Androutsopoulos, I., 2020. Medical Image Tagging with Neural Retrieval and Deep Learning. In LNCS.

• Kouyia V., Pavlopoulos, J. and Androutsopoulos, I., 2019. AUEB NLP Group at ImageCLEFmed Caption 2019. In the International Conference and Labs of the Evaluation Forum for European Languages.

• Kouyia, V., Pavlopoulos, J. and Androutsopoulos, I., 2019. A Survey of Biomedical Image Captioning. In Proceedings of the Shortcomings in Vision and Language NAACL Workshop, Minneapolis, MN, USA.

• Pavlopoulos, J., Malakasiotis, P., Bakagianni, J. and Androutsopoulos, I., 2017. Improved Abusive Comment Moderation with User Embeddings. In Proceedings of the Natural Language Processing meets Journalism Workshop in EMNLP, Copenhagen, Denmark, pp. 51—55.

• Pavlopoulos, J., Malakasiotis, P. and Androutsopoulos, I., 2017. Deep Learning for User Comment Moderation. In Proceedings of the 1st Abusive Language Workshop in ACL, Vancouver, BC, Canada, pp. 25—35.

• Pavlopoulos, J., Malakasiotis, P. and Androutsopoulos, I., 2017. Deeper Attention to abusive user comment moderation. In EMNLP, Copenhagen, Denmark, pp. 1125—1135.

• Giorgis, S., Rousas, A., Pavlopoulos, J., Malakasiotis, P. and Androutsopoulos, I., 2016. Aueb.twitter.sentiment at SemEval-2016 Task 4: A weighted ensemble of SVMs for Twitter sentiment analysis. In Proceedings of SemEval in NAACL:HLT, San Diego, California, USA, pp. 96—99.

• Xenos, D., Theodorakakos, P., Pavlopoulos, J., Malakasiotis, P. and Androutsopoulos, I., 2016. Aueb-absa at semeval-2016 task 5: Ensembles of classifiers and embeddings for aspect based sentiment analysis. In Proceedings of SemEval in NAACL:HLT, San Diego, California, USA, pp. 312—317.

• Pontiki, M., Galanis, D., Pavlopoulos, J., Papageorgiou, H., Androutsopoulos, I. and Manandhar, S., 2014. Semeval-2014 task 4: Aspect based sentiment analysis. In Proceedings of SemEval in EACL, Dublin, Ireland, pp. 27—35.

• Pavlopoulos, J. and Androutsopoulos, I., 2014. Aspect term extraction for sentiment analysis: New datasets, new evaluation measures and an improved unsupervised method. In Proceedings of the 5th Workshop on Language Analysis for Social Media in EACL, Gothenburg, Sweden, pp. 44—52.

• Karampatsis, R. M., Pavlopoulos, J. and Malakasiotis, P., 2014. AUEB: Two stage sentiment analysis of social network messages. In Proceedings of SemEval in ACL, Dublin, Ireland, pp. 114—118.

• Pavlopoulos, J. and Androutsopoulos, I., 2014. Multi-granular aspect aggregation in aspect-based sentiment analysis. In EACL, Gothenburg, Sweden, pp.78–87.

• Alexopoulos, P., Pavlopoulos, J. and Mylonas, P., 2012. Learning vague knowledge from socially generated content in an enterprise framework. In IFIP Advances in Information and Communication Technology, Artificial Intelligence Applications and Innovations, Halkidiki, Greece, pp. 510–519.

• Alexopoulos, P., Pavlopoulos, J., Wallace, M. and Kafentzis, K., 2011. Exploiting ontological relations for automatic semantic tag recommendation. In Proceedings of the 7th International Conference on Semantic Systems, Graz, Austria, pp. 105—110.

• Voudigari, E., Pavlopoulos, J. and Vazirgiannis, M., 2011. A Framework for Web Page Rank Prediction. In Proceedings of Engineering Applications of Neural Networks / Artificial Intelligence Applications and Innovations, Corfu, Greece, pp. 240—249.

• Vrettaros, J., Pavlopoulos, J., Vouros, G. and Drigas, S., 2008. The development of a self-assessment system for the learners answers with the use of GPNN. In Proceedings of the World Summit on Knowledge Society (WSKS), Athens, Greece, pp.332—340.

journals

• Barmpounis E.-K., Pavlopoulos, J., Louridas, P., Dritsa, K., 2024. Recognition and Analysis of the Proceedings of the Greek Parliament after WWII. DHQ 18(1). https://www.digitalhumanities.org/dhq/vol/18/1/000736/000736.html (data at: https://zenodo.org/records/8302990; Transkribus model under the name “Greek Parliamentary Proceedings 1946”)

• Pavlopoulos J., Romell A., Curman J., Steinert O., Lindgren T., Borg M., and Randl K., 2023. Automotive Fault Nowcasting with Machine Learning and Natural Language Processing. Machine Learning. https://doi.org/10.1007/s10994-023-06398-7

• Sommerschield, T., Assael, Y., Pavlopoulos, J., Stefanak, V., Senior, A., Dyer, C., Bodel, J., Prag, J., Androutsopoulos, I. and de Freitas, N., 2023. Machine Learning for Ancient Languages: A Survey. Computational Linguistics, pp.1-44. https://doi.org/10.1162/coli_a_00481

• Boulieris, P., Pavlopoulos, J., Xenos, A., & Vassalos, V., 2023. Fraud detection with natural language processing. Machine Learning, 1-22. https://doi.org/10.1007/s10994-023-06354-5

• Pavlopoulos, J., Likas, A., 2022. Distance from Unimodality for the Assessment of Opinion Polarization. Cognitive Computation. https://doi.org/10.1007/s12559-022-10088-2

• Pavlopoulos, J., Konstantinidou, M., 2022. Computational authorship analysis of the homeric poems. International Journal of Digital Humanities, 1-20.

• Pavlopoulos, J., Kougia, V., Androutsopoulos, I., Papamichail, D., 2022. Diagnostic Captioning: a Survey. Knowledge and Information Systems, 1-32. https://doi.org/10.1007/s10115-022-01684-7.

• Xenos, A., Pavlopoulos, J., Androutsopoulos, I., Dixon, L., Sorensen, J., Laugier, L., 2022. Toxicity Detection can be Sensitive to the Conversational Context. First Monday, 27(9), 2022. https://doi.org/10.5210/fm.v27i5.12285.

• Assael, Y., Sommerschield, T., Shillingford, B., Bordbar, M., Pavlopoulos, J., Chatzipanagiotou, M., Androutsopoulos, I., Prag, J., de Freitas., N., 2022. Restoring and attributing ancient texts with deep neural networks. In Nature.

• Olczak J., Pavlopoulos J., Prijs J., Ijpma F. F. A., Doornberg J. N., Lundstrom C., Hedlund J., and Gordon M., 2021. Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal. Acta Orthopaedica.

• Kougia V., Pavlopoulos J., Papapetrou P., 2021. RTEx: A novel framework for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams. Journal of the American Medical Informatics Association.

• Tsatsaronis G., Balikas G., Malakasiotis P., Partalas I., Zschunke, M., Alvers, M., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., Almirantis, Y., Pavlopoulos, J., Baskiotis, N., Gallinari, P., Artieres, T., Ngomo, A.-C., Heino, N., Gaussier, E.; Barrio-Alvers, L., Schroeder, M., Androutsopoulos, I. and Paliouras, G., 2015. An overview of the bioasq large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics 16(1).

• Alexopoulos P., Pavlopoulos J. and Mylonas P., “A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts”. International Journal on Artificial Intelligence Tools 23(02), 2014.

• Vrettaros J., Pavlopoulos J., Drigas A. S. and Hrissagis K., “GPNN techniques in learning assessment systems”. In International Journal of Technology Enhanced Learning. Inderscience Publishers, pp. 415—429, 3(4), 2011.

theses

• Pavlopoulos, J., 2014. Aspect Based Sentiment Analysis. PhD Thesis, University of Athens Economics and Business, Department of Informatics, Greece, Supervisor: Professor Ion Androutsopoulos.

• Pavlopoulos, J., 2009. Implementation and Comparison of models addressing Automatic Text Illustration, MSc Dissertation, University of Edinburgh, School of Informatics, U.K., Supervisor: Professor Mirella Lapata.