activity
20182022
most citedGREEK-BERT: The Greeks visiting Sesame Street

86 citations · 109 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CL2022

Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models

Stelios Maroudas, Sotiris Legkas, Prodromos Malakasiotis +1

In the era of billion-parameter-sized Language Models (LMs), start-ups have to follow trends and adapt their technology accordingly. Nonetheless, there are open challenges since th…

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.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

Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations

Nikolaos Manginas, Ilias Chalkidis, Prodromos Malakasiotis

Although BERT is widely used by the NLP community, little is known about its inner workings. Several attempts have been made to shed light on certain aspects of BERT, often with co…