transformerzhou Goto Github PK
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Useful extra functionality for TensorFlow maintained by SIG-addons
对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本
农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策
记录基本算法
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
TensorFlow code and pre-trained models for BERT and ERNIE
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
LaTeX thesis template for Fudan University
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN based on message passing.
从无到有构建一个电影知识图谱,并基于该KG,开发一个简易的KBQA程序。
tensorflow2-models by google
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
test
common版本
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
PanDownload的个人维护版本
Bulding kg from 0
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