Semanlink - NLP tasks / problems ; NLP: Text Representation AND NLP@Meta

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Arxiv Doc - BM25 - Dataset quality - Document embeddings - LM: tokenization - LMs: context length - Long documents - NLP: French - NLP@Facebook - NLP@Meta - NLP sample code - Sentence Embeddings - Text Classification - Tomas Mikolov - Transformers - Tweet - txtai -

NLP tasks / problems ; NLP: Text Representation AND NLP@Meta

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6 Documents

[2305.07185] MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

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2023-07-01 About

Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."

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2023-04-05 About

Sentence Embedding Fine-tuning for the French Language | by La Javaness R&D | Feb, 2022 | Medium

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2022-03-31 About

Building a sentence embedding index with fastText and BM25 | by David Mezzetti | Towards Data Science

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2021-09-30 About

How can we get the vector of a paragraph? · Issue #26 · facebookresearch/fastText

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2017-11-25 About

[1607.01759] Bag of Tricks for Efficient Text Classification

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2017-09-10 About