abasirat/principal_word_vectors

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Created over 5 years ago
Updated almost 5 years ago

abasirat/principal_word_vectors

abasirat

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We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora.

ud-tagger

A multi-task neural network model for multi-tagging of natural languages

llm-adapter

A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.