activity
20192022
most citedExtreme Multi-Label Legal Text Classification: A case study in EU Legislation

22 citations · 40 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL202217 cited

An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification

Ilias Chalkidis, Xiang Dai, Manos Fergadiotis +2

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 thes…

cs.CL2021

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

Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos

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 l…

cs.CL2021

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases

Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis +3

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…

cs.CL20211 cited

Neural Contract Element Extraction Revisited: Letters from Sesame Street

Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis +1

We investigate contract element extraction. We show that LSTM-based encoders perform better than dilated CNNs, Transformers, and BERT in this task. We also find that domain-specifi…

cs.CL2021

Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations

Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas +2

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, reg…

cs.CL2020

LEGAL-BERT: The Muppets straight out of Law School

Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis +2

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 t…