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Lbl2Vec

Public

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

document-embeddingslabel-embeddingsmachine-learningnatural-language-processingnlppythontext-classificationunsupervised-classificationunsupervised-document-retrievalword-embeddings
Creat：2021-07-19T02:04:12
Update：2025-03-26T06:26:55
https://wwwmatthes.in.tum.de/pages/naimi84squl1/Lbl2Vec-An-Embedding-based-Approach-for-Unsupervised-Document-Retrieval-on-Predefined-Topics
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