Clustering Contextualized Word Embeddings Document Embeddings Topic Embeddings Contextualized Topic Models public – 2 min read Understanding Contextualized Topic Models In recent years, advancements in machine learning and natural language processing have led to the development… Apr 23, 2023 Devin Schumacher
Contextualized Word Embeddings Self-Supervised Learning Sentence Embeddings Static Word Embeddings Word Embeddings Mirror-BERT public – 2 min read Introduction to Mirror-BERT: A Simple Yet Effective Text Encoder Language is the primary tool humans use to communicate, and it… Apr 23, 2023 Devin Schumacher
Contextualized Word Embeddings Word Embeddings context2vec public – 3 min read Context2vec is an unsupervised model for learning generic context embeddings of wide sentential contexts, using a bidirectional LSTM. This technology… Apr 23, 2023 Devin Schumacher
Contextualized Word Embeddings Large Language Models (LLMs) Word Embeddings Cross-View Training public – 2 min read Cross-View Training, also known as CVT, is a modern way to improve artificial intelligence systems through the use of semi-supervised… Apr 23, 2023 Devin Schumacher
Contextualized Word Embeddings Word Embeddings Contextual Word Vectors public – 2 min read What is CoVe? CoVe, or Contextualized Word Vectors, is a machine learning technique used to generate word embeddings that capture… Apr 23, 2023 Devin Schumacher
Contextualized Word Embeddings Large Language Models (LLMs) Word Embeddings ELMo public – 2 min read What is ELMo? ELMo stands for Embeddings from Language Models, which is a special type of word representation that was… Apr 23, 2023 Devin Schumacher