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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。
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:
Result::
Thoughts:
Next Reading:
The text was updated successfully, but these errors were encountered:
Summary:
为了解决conflicting matches,而引入地名词典。
Resource:
Paper information:
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。
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:
Result::
Thoughts:
Next Reading:
The text was updated successfully, but these errors were encountered: