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fyh97's Projects

agriculture_knowledgegraph icon agriculture_knowledgegraph

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

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

bdci_car_2018 icon bdci_car_2018

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

ccks2018summary icon ccks2018summary

self summary after attending 2018全国知识图谱与语义计算大会,China Conference on Knowledge Graph and Semantic Computing

ccl2018summary icon ccl2018summary

self summary after attending CCL2018 (全国计算语言学学术会议), CCL2018参会总结,包括会议论文下载脚本,会议前言技术报告下载,以及个人的一点总结.

chatbot icon chatbot

一个可以自己进行训练的中文聊天机器人, 根据自己的语料训练出自己想要的聊天机器人,可以用于智能客服、在线问答、智能聊天等场景。加入seqGAN版本。

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chinesener icon chinesener

中文命名实体识别,实体抽取,tensorflow,pytorch,BiLSTM+CRF

chinesener-1 icon chinesener-1

A neural network model for Chinese named entity recognition

crimekgassitant icon crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

cs224n icon cs224n

homework for CS224n 2017 and 2019

cs224n-stanford-winter-2019 icon cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!

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