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Arxiv Doc - Benchmark - BERT - BM25 - EMNLP 2021 - FastText - Information retrieval - Mostafa Dehghani - Neural Search - Nils Reimers - NLP datasets - Question Answering - Semantic Search - Sentence Embeddings - Thèse IRIT-Renault: biblio initiale - Tweet - Weak supervision - Zero shot -

Favoris ; Machine learning AND BM25

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5 Documents

Zexuan Zhong sur Twitter : ...Does this really mean dense models are better? No Our #EMNLP2021 paper shows dense retrievers even fail to answer simple entity-centric questions

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2021-10-07 About

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

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2021-09-30 About

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

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2021-07-09 About

[2007.12603] IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles

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2021-04-12 About

[1704.08803] Neural Ranking Models with Weak Supervision

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2019-01-27 About