Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Businesses can now easily convert unstructured data into valuable insights, marking a significant leap forward in technology integration.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

Data Extraction 98

Data Extraction NLP Natural Language Processing Automation 98

Sebastian Ruder

JANUARY 19, 2021

2020 ), and to be vulnerable to model and data extraction attacks ( Krishna et al., A plethora of language-specific BERT models have been trained for languages beyond English such as AraBERT ( Antoun et al., The Data-efficient image Transformer ( Touvron et al., 2020 ; Wallace et al., 2020 ; Carlini et al.,

NLP 52

NLP ML Computer Vision Neural Network 52

John Snow Labs

MAY 8, 2024

These early efforts were restricted by scant data pools and a nascent comprehension of pathological lexicons. in 2017 highlighted this by demonstrating a deep learning algorithm’s ability to classify skin cancer with accuracy comparable to that of human dermatologists, based on an extensive dataset of 129,450 clinical images.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40