86 citations · 170 across the 14 of their papers we have counts for
18 papers
Regulation and NLP (RegNLP): Taming Large Language Models
Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis +2
The scientific innovation in Natural Language Processing (NLP) and more broadly in artificial intelligence (AI) is at its fastest pace to date. As large language models (LLMs) unle…
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge
Laura Cabello, Jiaang Li, Ilias Chalkidis
The recently released ChatGPT model demonstrates unprecedented capabilities in zero-shot question-answering. In this work, we probe ChatGPT for its conversational understanding and…
ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmark
Ilias Chalkidis
Following the hype around OpenAI's ChatGPT conversational agent, the last straw in the recent development of Large Language Models (LLMs) that demonstrate emergent unprecedented ze…
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…
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis +4
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 cos…
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…
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…
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…
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…
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…
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…
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…
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas +3
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…
GREEK-BERT: The Greeks visiting Sesame Street
John Koutsikakis, Ilias Chalkidis, Prodromos Malakasiotis +1
Transformer-based language models, such as BERT and its variants, have achieved state-of-the-art performance in several downstream natural language processing (NLP) tasks on generi…
Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis +1
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 EUROVOC…
Neural Legal Judgment Prediction in English
Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras
Legal judgment prediction is the task of automatically predicting the outcome of a court case, given a text describing the case's facts. Previous work on using neural models for th…
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis +2
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 Union's…
Obligation and Prohibition Extraction Using Hierarchical RNNs
Ilias Chalkidis, Ion Androutsopoulos, Achilleas Michos
We consider the task of detecting contractual obligations and prohibitions. We show that a self-attention mechanism improves the performance of a BILSTM classifier, the previous st…