Currently, I am a Senior Machine Learning Engineer at Workable and a Research Assistant at AUEB NLP Group, working on challenging problems in Natural Language Processing.
My research interests focus on Artificial Intelligence, especially Natural Language Processing and particularly:
Machine learning in bank merger prediction: A text-based approach
Apostolos Katsafados, George Leledakis, Emmanouil Pyrgiotakis, Ion Androutsopoulos, Manos Fergadiotis
In the European Journal of Operational Research.
Textual Information and IPO Underpricing: A Machine Learning Approach
Apostolos Katsafados, George Leledakis, Emmanouil Pyrgiotakis, Ion Androutsopoulos, Ilias Chalkidis, Manos Fergadiotis
In the Journal of Financial Data Science, Spring 2023.
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos and George Paliouras
In the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) (Long Papers), Dublin, Republic of Ireland, May 22 - 27, 2022.
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis, Manos Fergadiotis, and Ion Androutsopoulos
In the Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Punta Cana, Dominican Republic, November 7β11, 2021.
EDGAR-CORPUS: Billions of Tokens Make The World Go Round
Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos and Prodromos Malakasiotis
In the Proceedings of the Economics and Natural Language Processing Workshop (ECONLP 2021) of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Punta Cana, Dominican Republic, November 7β11, 2021.
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Nikolaos Aletras, Ion Androutsopoulos and Prodromos Malakasiotis
In the Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021), (Held online due to COVID-19), June 6β11, 2021.
Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations
Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas and Prodromos Malakasiotis
In the Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), (Held online due to COVID-19), April 21β23, 2021.
An Empirical Study on Large-Scale Multi-Label Text Classification including Few and Zero-Shot Labels
Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras and Ion Androutsopoulos
In the Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), (Held online due to COVID-19), November 16β20, 2020.
LEGAL-BERT: "The Muppets straight out of Law School"
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras and Ion Androutsopoulos
In Findings of Empirical Methods in Natural Language Processing (EMNLP 2020),(Held online due to COVID-19), November 16β20, 2020.
Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis and Ion Androutsopoulos
In the Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (Short Papers), Florence, Italy, July 28 - August 2, 2019.
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras and Ion Androutsopoulos
In the Proceedings of the Workshop on Natural Legal Language Processing - co-located with NAACL-HLT 2019, Minneapolis, USA, June 2-7, 2019.
The Predictions of Bank Merger Targets and Acquirers with Textual Analysis
George Leledakis, Apostolos Katsafados, Ion Androutsopoulos, Ilias Chalkidis, Emmanouel Fergadiotis
In the Proceedings of the 9th National Conference of the Financial Engineering and Banking Society (FEBS 2018), Athens, Greece, 2018.
The Effect of Textual Information on IPO Underpricing
Ion Androutsopoulos, Ilias Chalkidis, Emmanouel Fergadiotis, Apostolos Katsafados, George Leledakis and Alexandra Ntetsika
In the Proceedings of the 8th National Conference of the Financial Engineering and Banking Society (FEBS 2017)β Athensβ Greeceβ December 18-19β 2017. 2017.