1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
Classification of US Supreme Court Cases using BERT-Based Techniques
Shubham Vatsal, Adam Meyers, John E. Ortega
Models based on bidirectional encoder representations from transformers (BERT) produce state of the art (SOTA) results on many natural language processing (NLP) tasks such as named…
cs.CL2023
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay +5
Large multilingual models have inspired a new class of word alignment methods, which work well for the model's pretraining languages. However, the languages most in need of automat…
cs.CL2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models
Ayush Singh, John E. Ortega
State-of-the-art pre-trained language models (PLMs) outperform other models when applied to the majority of language processing tasks. However, PLMs have been found to degrade in p…