Semanlink - Favoris ; Machine learning ; Long documents AND Arxiv Doc

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Arxiv Doc - DeepMind - Document embeddings - Extractive Text Summarization - LM: tokenization - LM + KG - LMs: context length - Long documents - Memory in deep learning - Neural Search - NLP@Amazon - NLP@Meta - Sequence-to-sequence learning - Survey / Review - Text Ranking - Topic Modeling - Transformers -

Favoris ; Machine learning ; Long documents AND Arxiv Doc

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6 Documents

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

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2023-07-01 About

[2008.09093] PARADE: Passage Representation Aggregation for Document Reranking

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2022-09-21 About

[2208.09982] GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization

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2022-08-24 About

[2110.10778] Contrastive Document Representation Learning with Graph Attention Networks

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2022-03-10 About

[2010.06467] Pretrained Transformers for Text Ranking: BERT and Beyond

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2021-07-09 About

[1911.05507] Compressive Transformers for Long-Range Sequence Modelling

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2020-02-11 About