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KBQA-BERT
基于知识图谱的问答系统,BERT做命名实体识别和句子相似度,分为online和outline模式QAmodel-for-Retrievalchatbot
客服机器人,Chinese Retreival chatbot(中文检索式机器人)用到的一些QA模型,基于tf-idf,lsa,cnn,transformer,bert等Customer-Chatbot
中文智能客服机器人demo,包含闲聊和专业问答2个部分,支持自定义组件(Chinese intelligent customer chatbot Demo, including the gossip and the professional Q&A(FAQ) , support for custom components!)DIAC2019-Adversarial-Attack-Share
DIAC2019基于Adversarial Attack的问题等价性判别比赛NER-FunTool
本NER项目包含多个中文数据集,模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等,最后用TFServing进行模型部署,线上推理和线下推理。KBQA-Exploration
知识图谱初探,关系抽取,实体抽取,基于kb的问答,基于es的问答,知识图谱可视化CNN-in-Answer-selection
WikiQA,复现论文《APPLYING DEEP LEARNING TO ANSWER SELECTION: A STUDY AND AN OPEN TASK》Light_SimMatch
面向中文领域的轻量文本匹配框架,集成文本匹配,文本蕴含,释义识别等领域的各个经典,STA模型Event_Identification_NER_Classfication
互联网舆情企业风险事件的识别和预警,将公司名称进行实体提取,对新闻进行舆情分类,比赛地址为:http://ailab.aiwin.org.cn/competitions/48#learn_the_detailsELMO-NLP
ELMO在QA问答,文本分类等NLP上面的应用man_qa
WikiQA,复现论文《Multihop Atention Networks for Qestion Answer Matching》compare-aggregate
复现《A Compare-Aggregate Model for Matching Text Sequences》论文 via TensorflowHmm-CRF
隐马尔科夫模型前向,后向,维特比算法实现,sklearn版的crf实现EntityCorrect_Tool
利用actrie树进行句子实体纠错和标准实体抽取,实体纠错:找商银行 -> 招商银行;实体标准化,招行 -> 招商银行Pandas-exploration
Pandas分析数据,可视化Attention-over-Attention
Attention-over-Attention模型实现NLP_Learning
分享学习过程中看到的有趣的资源Seq2Seq_Char
Basic Seq2seqIntelligent-Furniture-FAQ
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