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Arxiv Doc - BERT - Contrastive Learning - Entities - Ikuya Yamada - Knowledge Graph + Deep Learning - Long documents - Nils Reimers - Question Answering - RAG: chunking - Semantic Search - Sentence Embeddings - Similarity queries / Vector search - Sinequa - Text Classification - Text Embeddings - Tips - Weaviate - Wikipedia -

Favoris ; Knowledge ; Pre-Trained Language Models AND Text Embeddings

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5 Documents

Nils Reimers sur X : "Embeddings can store only 1 aspect/topic per embedding well."

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2024-03-13 About

Classifying long textual documents (up to 25 000 tokens) using BERT | by Sinequa | (2020)

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2023-04-07 About

[2205.15952] Knowledge Graph -- Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

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2022-06-11 About

[2205.04260] EASE: Entity-Aware Contrastive Learning of Sentence Embedding

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2022-05-11 About

Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine

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2021-12-05 About