User profiles for Manos Fergadiotis
Manos FergadiotisDepartment 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
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 …
limited investigation on its adaptation guidelines in specialised domains. Here we focus on …
Large-scale multi-label text classification on EU legislation
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 …
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
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 …
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
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 …
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
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, …
point of view, the goal is to build models that provide proper justification for their decisions, …
FiNER: Financial numeric entity recognition for XBRL tagging
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 …
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
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 …
We release a new dataset of 57k legislative documents from EURLEX, the European …
An exploration of hierarchical attention transformers for efficient long document classification
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 …
Bird, are popular approaches to working with long documents. There are clear benefits to …
EDGAR-CORPUS: Billions of tokens make the world go round
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 …
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, …
organizations need to ensure that their controls (processes) comply with relevant laws, …