Bringing order into the realm of Transformer-based language models for artificial intelligence and law
CM Greco, A Tagarelli - Artificial Intelligence and Law, 2023 - Springer
Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …
edge technology for the successful development of deep-learning-based solutions to …
Unsupervised layer-wise score aggregation for textual ood detection
Abstract Out-of-distribution (OOD) detection is a rapidly growing field due to new robustness
and security requirements driven by an increased number of AI-based systems. Existing …
and security requirements driven by an increased number of AI-based systems. Existing …
Lextreme: A multi-lingual and multi-task benchmark for the legal domain
Lately, propelled by the phenomenal advances around the transformer architecture, the
legal NLP field has enjoyed spectacular growth. To measure progress, well curated and …
legal NLP field has enjoyed spectacular growth. To measure progress, well curated and …
Processing long legal documents with pre-trained transformers: Modding legalbert and longformer
D Mamakas, P Tsotsi, I Androutsopoulos… - arXiv preprint arXiv …, 2022 - arxiv.org
Pre-trained Transformers currently dominate most NLP tasks. They impose, however, limits
on the maximum input length (512 sub-words in BERT), which are too restrictive in the legal …
on the maximum input length (512 sub-words in BERT), which are too restrictive in the legal …
ClassActionPrediction: A challenging benchmark for legal judgment prediction of class action cases in the US
The research field of Legal Natural Language Processing (NLP) has been very active
recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively …
recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively …
Scale: Scaling up the complexity for advanced language model evaluation
Recent strides in Large Language Models (LLMs) have saturated many NLP benchmarks
(even professional domain-specific ones), emphasizing the need for novel, more …
(even professional domain-specific ones), emphasizing the need for novel, more …
MultiLegalSBD: a multilingual legal sentence boundary detection dataset
Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural
Language Processing (NLP), with incorrectly split sentences heavily influencing the output …
Language Processing (NLP), with incorrectly split sentences heavily influencing the output …
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
N Baumgartner, M Stürmer, M Grabmair… - arXiv preprint arXiv …, 2024 - arxiv.org
The assessment of explainability in Legal Judgement Prediction (LJP) systems is of
paramount importance in building trustworthy and transparent systems, particularly …
paramount importance in building trustworthy and transparent systems, particularly …
Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents
R Christen, A Shaitarova, M Stürmer… - arXiv preprint arXiv …, 2023 - arxiv.org
Resolving the scope of a negation within a sentence is a challenging NLP task. The
complexity of legal texts and the lack of annotated in-domain negation corpora pose …
complexity of legal texts and the lack of annotated in-domain negation corpora pose …
Prediction of Turkish Constitutional Court Decisions with Explainable Artificial Intelligence
Using artificial intelligence in law is a topic that has attracted attention in recent years. This
study aims to classify the case decisions taken by the Constitutional Court of the Republic of …
study aims to classify the case decisions taken by the Constitutional Court of the Republic of …