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Akari Asai

ورقتان في مجموعة PaperMetrix

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  1. LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

    2020

    Entity representations are useful in natural language tasks involving entities. In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer The proposed model treats words and entities …

  2. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

    2019 · arXiv (Cornell University)

    Answering questions that require multi-hop reasoning at web-scale necessitates retrieving multiple evidence documents, one of which often has little lexical or semantic relationship to the question. This paper introduces a new graph-based recurrent retrieval approach …