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ACL-2019/7-A Neural Multi-digraph Model for Chinese NER with Gazetteers #288

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BrambleXu opened this issue Nov 8, 2019 · 0 comments
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C Code Implementation NER(T) Named Entity Recognition Task

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@BrambleXu
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Summary:

为了解决conflicting matches,而引入地名词典。

Resource:

Paper information:

  • Author:
  • Dataset:
  • keywords:

Notes:

To automatically learn how to incorporate multiple gazetteers into an
NER system, we propose a novel approach based on graph neural networks with a multidigraph structure that captures the information that the gazetteers offer
本文的重点是如何把 地名词典 的信息整合到NER里。

image

一句话,如果部分词的话,识别entity是有可能同时出现多个重复的内容。

这篇文章想要解决的问题是conflicting matches。我用不到

Model Graph:

image

Result:

Thoughts:

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@BrambleXu BrambleXu added the NER(T) Named Entity Recognition Task label Nov 8, 2019
@BrambleXu BrambleXu self-assigned this Nov 8, 2019
@BrambleXu BrambleXu added the C Code Implementation label Nov 8, 2019
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