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What Happens When You Run SRL Experiments Over a BERT Based Model?

Modeling NLP/Text Analytics bertposted by ODSC Community April 26, 2021

Transformers have made more progress in the past few years than NLP in the past generation. Standard NLU approaches first learn syntactical and lexical features to explain the structure of a sentence. The former NLP models would be trained to understand the basic syntax of language... Read more

10 Notable Frameworks for NLP

Modeling NLP/Text Analytics bert chainer ernie frameworks Keras NLP PyTorch Scikit-Learn spaCy TensorFlowposted by Elizabeth Wallace, ODSC February 28, 2020

Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more

State-of-the-Art NLP Made Easy With AdaptNLP

Blogs from ODSC Speakers Conferences Modeling NLP/Text Analytics AdaptNLP bert East 2020 Novettaposted by ODSC Community February 26, 2020

Natural Language Processing (NLP) has advanced significantly since 2018, when ULMFiT and Google’s release of the BERT language model approached human-level performance on a range of use cases. Since then, several models with similarly interesting names such as XLM, GPT-2, XLNet, and ALBERT have been released... Read more

What do Data Scientists and Decision Makers Need to Know About Google’s BERT

Modeling NLP/Text Analytics bertposted by ODSC Team October 4, 2019

Any data scientist will tell you that one of the most challenging parts of natural language processing projects is the lack (or shortage) of training data. With deep learning, this has been semi-solved, but now the problem can be too much data—up to millions or even... Read more

Identifying Heart Disease Risk Factors from Clinical Text

Blogs from ODSC Speakers Business + Management Conferences Healthcare bertposted by Sudha Subramanian September 23, 2019

Editor’s Note: See Sudha’s talk “Identifying Heart Disease Risk Factors from Clinical Notes” at ODSC Europe 2019. People needlessly die every single day due to preventable heart attacks. The clues are hiding right within the notes doctors and clinicians take during routine health care visits. In... Read more

What Happens When You Run SRL Experiments Over a BERT Based Model?

10 Notable Frameworks for NLP

State-of-the-Art NLP Made Easy With AdaptNLP

What do Data Scientists and Decision Makers Need to Know About Google’s BERT

Identifying Heart Disease Risk Factors from Clinical Text

George R.R. Martin And Other Authors Sue OpenAI

9 Open Source LLMs and Agents to Watch

Conversational Data Analysis: Cutting Through the Noise to Find the Real Deal