指称读者：一个用于指代消解的递归实体网络
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
摘要：
我们提出了一种新的架构，用于存储和访问实体提到在线文本处理。在读取文本时，实体引用被标识，并且可以通过更新或删除固定长度存储器中的单元来存储。更新操作意味着与存储在同一单元格中的其他提及的共引用;重写操作导致这些提及被遗忘。通过将存储器操作编码为可微分门，可以使用监督的照应解析目标以及补充语言建模目标来端到端地训练模型。对代词-名字回指数据集的评估表明，纯增量文本处理具有很强的性能。
英文摘要：
We present a new architecture for storing and accessing entity mentions during online text processing. While reading the text, entity references are identified, and may be stored by either updating or overwriting a cell in a fixed-length memory. The update operation implies coreference with the other mentions that are stored in the same cell; the overwrite operation causes these mentions to be forgotten. By encoding the memory operations as differentiable gates, it is possible to train the model end-to-end, using both a supervised anaphora resolution objective as well as a supplementary language modeling objective. Evaluation on a dataset of pronoun-name anaphora demonstrates strong performance with purely incremental text processing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
