Manos Fergadiotis

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, especially Deep Learning
  • Information Extraction
  • Text Classification, especially Large-Scale Multi-Label Text Classification
  • Few-shot and Zero-shot Learning
  • Information Retrieval for large document collections
  • Transfer Learning (Pre-trained Language Models and Domain Adaptation)


Publications

2023

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.

Article



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.

Article



System and method for automatically tagging documents

Eleftherios Panagiotis Loukas, Eirini Spyropoulou, Prodromos Malakasiotis, Emmanouil Fergadiotis, Ilias Chalkidis, Ioannis Androutsopoulos, Georgios Paliouras

US Patent App. 17/873,932, 2023.

Article  PDF 

2022

An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification

Ilias Chalkidis, Xiang Dai, Manos Fergadiotis, Prodromos Malakasiotis, and Desmond Elliott

ArXiv Pre-print, 2022.

Arxiv  PDF   Code



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.

Arxiv  PDF  πŸ€— Dataset πŸ€— Models  Code

2021

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 7–11, 2021.

Arxiv  PDF  πŸ€— Dataset  Code



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 7–11, 2021.

Arxiv  PDF  Dataset  Code



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 6–11, 2021.

Arxiv  PDF  πŸ€— Dataset



Neural Contract Element Extraction Revisited: Letters from Sesame Street

Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis and Ion Androutsopoulos

Pre-print (Update of the article "Neural Contract Element Extraction Revisited"), February 23, 2021.

Arxiv  PDF 



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 21–23, 2021.

Arxiv  PDF  Dataset



Using Textual Analysis to Identify Merger Participants: Evidence from the U.S. Banking Industry

Apostolos Katsafados, Ion Androutsopoulos, Ilias Chalkidis, Manos Fergadiotis, George Leledakis and Emmanouil Pyrgiotakis

In Finance Research Letters, January 26, 2021.

Arxiv  PDF 

2020

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 16–20, 2020.

Arxiv  PDF   Code



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 16–20, 2020.

Arxiv  PDF  πŸ€— Models

2019

Neural Contract Element Extraction Revisited

Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis and Ion Androutsopoulos

In the Proceedings of the Document Intelligence Workshop - co-located with NeurIPS 2019, Vancouver, Canada, December 8-14, 2019.

Arxiv  PDF 



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.

Arxiv  PDF  Dataset  Code



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.

Arxiv  PDF  Dataset



2018

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€š Athensβ€š Greeceβ€š December 18-19β€š 2017. 2017.