Lexalytics

APRIL 5, 2021

This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas. (I Around this time a new graduate student, Geoffrey Hinton, decided that he would study the now discredited field of neural networks.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The two sets are standard feature engineering and fine-tuned Sentence-BERT (SBERT) embeddings. The triple-tower architecture provides three parallel deep neural networks, with each tower processing a set of features independently.

NLP 100

NLP Deep Learning Machine Learning Natural Language Processing 100

Sebastian Ruder

OCTOBER 26, 2019

In particular, I cover unsupervised deep multilingual models such as multilingual BERT. Cross-lingual learning in the transfer learning taxonomy ( Ruder, 2019 ) Methods from domain adaptation have also been applied to cross-lingual transfer ( Prettenhofer & Stein, 2011 , Wan et al., 2015 , Artetxe et al., 2019 ; Wu et al.,

BERT 52

BERT NLP Neural Network Natural Language Processing 52

Explosion

MARCH 17, 2019

In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use. A range of techniques for pretraining further layers of the network were proposed over the years, as the deep learning hype took hold. Clearly, we couldn’t use a model such as BERT or GPT-2 directly.

NLP 52

NLP Python Neural Network Natural Language Processing 52