19 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 2 cited
The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification
Benjamin Clavié, Marc Alphonsus
We aim to highlight an interesting trend to contribute to the ongoing debate around advances within legal Natural Language Processing. Recently, the focus for most legal text class…
cs.CL2021★ 3 cited
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training
Benjamin Clavié, Akshita Gheewala, Paul Briton +3
Large Transformer-based language models such as BERT have led to broad performance improvements on many NLP tasks. Domain-specific variants of these models have demonstrated excell…
cs.CY2019★ 19 cited
EduBERT: Pretrained Deep Language Models for Learning Analytics
Benjamin Clavié, Kobi Gal
The use of large pretrained neural networks to create contextualized word embeddings has drastically improved performance on several natural language processing (NLP) tasks. These…