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Leveraging Lexical Features for Chinese Named Entity Recognition via Static and Dynamic Weighting

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ChineseNER_DS

Leveraging Lexical Features for Chinese Named Entity Recognition via Static and Dynamic Weighting

Requirement:

python: 3.6.0
tensorflow: 1.4.0

Input format:

美	B-LOC
国	E-LOC
的	O
华	B-PER
莱	I-PER
士	E-PER

我	O
跟	O
他	O
谈	O
笑	O
风	O
生	O 

Pretrained Embeddings:

Character embeddings (gigaword_chn.all.a2b.uni.ite50.vec): and Word(Lattice) embeddings (sgns.merge.word): Baidu Pan 提取码:w0au

How to run the code?

  1. Download the character embeddings and word embeddings and put them in the data folder.
  2. runpython main.py

Cite:

Leveraging Lexical Features for Chinese Named Entity Recognition via Static and Dynamic Weighting

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