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使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统
keras implement of transformers for humans
Chinese clinical named entity recognition using pre-trained BERT model
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
🍚 Vue.js高仿饿了么外卖App课程源码 http://coding.imooc.com/class/74.html
Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.
🔶 A fantastic mobile ui lib implement by Vue
在Keras下微调Bert的一些例子;some examples of bert in keras
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
BERT + reproduce "Joint entity recognition and relation extraction as a multi-head selection problem" for Chinese and English IE
taorui-plus / OpenNRE
Forked from thunlp/OpenNRE哈工大bert上fine turning ,中文人物关系抽取任务准确率0.97
Chinese rule based relation extraction
[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Source code for ACL 2019 paper "Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge"
Large single page application with 45 pages built on vue2 + vuex. 基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用
A curated list of pretrained sentence and word embedding models
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
Must-read papers on entity alignment published in recent years