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judicial/trial engine with knowledge graph
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
使用Bert,ERNIE,进行中文文本分类
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
中文命名体识别,采用pytorch官方提供的BiLSTM+CRF
朴素贝叶斯中文垃圾邮件分类器
中文实体关系抽取,pytorch,bilstm+attention
暴恐违禁 文本色情 政治敏感 恶意推广 低俗辱骂
使用HMM模型对中文分词,同时进行词性标注
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.
从csv读取数据识别恶意广告评论
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
Heterogeneous Representations for Neural Relation Extraction https://arxiv.org/abs/1903.10126
基于文本的垃圾短信分类_文本预处理
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
An Open-Source Package for Neural Relation Extraction (NRE)
ChinesePersonRelationGraph, person relationship extraction based on nlp methods.中文人物关系知识图谱项目,内容包括中文人物关系图谱构建,基于知识库的数据回标,基于远程监督与bootstrapping方法的人物关系抽取,基于知识图谱的知识问答等应用。
预训练语言模型综述
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
Implementation of R-BERT (Wu et al. 2019) model from the paper 'Enriching Pre-trained Language Model with Entity Information for Relation Classification'
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
中文垃圾短信识别(手写分类器)
垃圾短信分类代码
中文常用停用词表(哈工大停用词表、百度停用词表等)
Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)
CNN-RNN中文文本分类,基于TensorFlow
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