Joint Entity recognition and relation Extraction using joint neural model 源码
联合实体识别和关系提取作为多头选择问题 论文的实现 要求 脾气暴躁的1.17.1 Gensim 3.4.0 Tensorflow 1.13.1 漂亮表0.7.2 熊猫1.1.5 任务 给定一系列标记(即句子),(i)给出每个单词(例如NER)的实体标签,以及(ii)句子中实体之间的关系。 以下示例说明了我们的多头选择模型可接受的输入格式: 0 Marc B-PER ['N'] [0] 1 Smith I-PER ['lives_in','works_for'] [5,11] 2 lives O ['N'] [2] 3 in O ['N'] [3] 4 New B-LOC ['N'] [4] 5 Orleans I-LOC ['N'] [5] 6 and O ['N'] [6] 7 is O
文件列表
Joint-Entity-recognition-and-relation-Extraction-using-joint-neural-model-main.zip
(预估有个8文件)
Joint-Entity-recognition-and-relation-Extraction-using-joint-neural-model-main
multi_head_joint_entity_relation_extraction.ipynb
232KB
data
CoNLL04
test.txt
187KB
train.txt
591KB
vecs.lc.over100freq.zip
76.6MB
dev.txt
155KB
README.md
192B
configs
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