activity
20182023
most citedGREEK-BERT: The Greeks visiting Sesame Street

86 citations · 170 across the 14 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 5 cited

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Ilias Chalkidis, Abhik Jana, Dirk Hartung +4

Laws and their interpretations, legal arguments and agreements\ are typically expressed in writing, leading to the production of vast corpora of legal text. Their analysis, which i…

cs.CL2021

Multi-granular Legal Topic Classification on Greek Legislation

Christos Papaloukas, Ilias Chalkidis, Konstantinos Athinaios +2

In this work, we study the task of classifying legal texts written in the Greek language. We introduce and make publicly available a novel dataset based on Greek legislation, consi…

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.CL2021★ 1 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…