User profiles for Manos Fergadiotis

Manos Fergadiotis

Department of Informatics, Athens University of Economics and Business
Verified email at aueb.gr
Cited by 1372

LEGAL-BERT: The muppets straight out of law school

I Chalkidis, M Fergadiotis, P Malakasiotis… - arXiv preprint arXiv …, 2020 - arxiv.org
BERT has achieved impressive performance in several NLP tasks. However, there has been
limited investigation on its adaptation guidelines in specialised domains. Here we focus on …

Large-scale multi-label text classification on EU legislation

I Chalkidis, M Fergadiotis, P Malakasiotis… - arXiv preprint arXiv …, 2019 - arxiv.org
We consider Large-Scale Multi-Label Text Classification (LMTC) in the legal domain. We
release a new dataset of 57k legislative documents from EURLEX, annotated with ~4.3k …

MultiEURLEX--A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer

I Chalkidis, M Fergadiotis, I Androutsopoulos - arXiv preprint arXiv …, 2021 - arxiv.org
We introduce MULTI-EURLEX, a new multilingual dataset for topic classification of legal
documents. The dataset comprises 65k European Union (EU) laws, officially translated in 23 …

An empirical study on large-scale multi-label text classification including few and zero-shot labels

I Chalkidis, M Fergadiotis, S Kotitsas… - arXiv preprint arXiv …, 2020 - arxiv.org
Large-scale Multi-label Text Classification (LMTC) has a wide range of Natural Language
Processing (NLP) applications and presents interesting challenges. First, not all labels are …

Paragraph-level rationale extraction through regularization: A case study on European court of human rights cases

I Chalkidis, M Fergadiotis, D Tsarapatsanis… - arXiv preprint arXiv …, 2021 - arxiv.org
Interpretability or explainability is an emerging research field in NLP. From a user-centric
point of view, the goal is to build models that provide proper justification for their decisions, …

FiNER: Financial numeric entity recognition for XBRL tagging

L Loukas, M Fergadiotis, I Chalkidis… - arXiv preprint arXiv …, 2022 - arxiv.org
Publicly traded companies are required to submit periodic reports with eXtensive Business
Reporting Language (XBRL) word-level tags. Manually tagging the reports is tedious and …

Extreme multi-label legal text classification: A case study in EU legislation

I Chalkidis, M Fergadiotis, P Malakasiotis… - arXiv preprint arXiv …, 2019 - arxiv.org
We consider the task of Extreme Multi-Label Text Classification (XMTC) in the legal domain.
We release a new dataset of 57k legislative documents from EURLEX, the European …

An exploration of hierarchical attention transformers for efficient long document classification

I Chalkidis, X Dai, M Fergadiotis, P Malakasiotis… - arXiv preprint arXiv …, 2022 - arxiv.org
Non-hierarchical sparse attention Transformer-based models, such as Longformer and Big
Bird, are popular approaches to working with long documents. There are clear benefits to …

EDGAR-CORPUS: Billions of tokens make the world go round

L Loukas, M Fergadiotis, I Androutsopoulos… - arXiv preprint arXiv …, 2021 - arxiv.org
We release EDGAR-CORPUS, a novel corpus comprising annual reports from all the publicly
traded companies in the US spanning a period of more than 25 years. To the best of our …

Regulatory compliance through Doc2Doc information retrieval: A case study in EU/UK legislation where text similarity has limitations

I Chalkidis, M Fergadiotis, N Manginas… - arXiv preprint arXiv …, 2021 - arxiv.org
Major scandals in corporate history have urged the need for regulatory compliance, where
organizations need to ensure that their controls (processes) comply with relevant laws, …