Vectorizing the Tree: High-Performance Word2Vec in Pure PyTorch
Production-grade Word2Vec in PyTorch with vectorized Hierarchical Softmax, Negative Sampling, and torch.compile support....
Embeddings
Analytical Solution to Word2Vec Softmax & Corpus Bias Probing
Analytical derivation of Word2Vec's softmax objective factorization and a new framework for detecting semantic bias in …...
EigenNoise: Data-Free Word Vector Initialization
Investigation into EigenNoise, a data-free initialization scheme for word vectors that approaches pre-trained model …...
Data-Driven WordNet Construction from Wiktionary
We introduce an unsupervised algorithm for inducing semantic networks from noisy, crowd-sourced data, producing a …...
Count Vectorization with scikit-learn in Python
Learn count vectorization in Python: convert text to numerical vectors using scikit-learn's CountVectorizer with …
Word Embeddings in NLP: An Introduction
Learn about word embeddings in NLP: from basic one-hot encoding to contextual models like ELMo. Guide with examples.