{"id":714655,"date":"2020-12-30T02:54:42","date_gmt":"2020-12-30T10:54:42","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=714655"},"modified":"2021-03-24T19:03:09","modified_gmt":"2021-03-25T02:03:09","slug":"mention-and-entity-description-co-attention-for-entity-disambiguation","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mention-and-entity-description-co-attention-for-entity-disambiguation\/","title":{"rendered":"Mention and Entity Description Co-Attention for Entity Disambiguation"},"content":{"rendered":"
For the task of entity disambiguation, mention contexts and entity descriptions both contain various kinds of information content while only a subset of them are helpful for disambiguation. In this paper, we propose a type-aware co-attention model for entity disambiguation, which tries to identify the most discriminative words from mention contexts and most relevant sentences 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