nocoolsandwich / iamQA
中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署
☆90Updated 3 years ago
Alternatives and similar repositories for iamQA:
Users that are interested in iamQA are comparing it to the libraries listed below
- 基于bert的kbqa系统☆150Updated 2 years ago
- albert + lstm + crf实体识别,pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)☆137Updated 2 years ago
- 从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Informatio…☆89Updated 5 years ago
- baidu aistudio event extraction competition☆224Updated last year
- CCKS 2020:新冠知识图谱构建与问答评测(四)新冠知识图谱问答评测☆216Updated 4 years ago
- 限定领域的三元组抽取的一次尝试,本文将会介绍笔者在2019语言与智能技术竞赛的三元组抽取比赛方面的一次尝试。☆132Updated last year
- ccks2020 NER competitions☆117Updated 4 years ago
- 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。☆80Updated 3 years ago
- Keras solution of simple Knowledge-Based QA task with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT☆21Updated last year
- “万创杯”中医药天池大数据竞赛——中医文献问题生成挑战 决赛 第一名方案☆133Updated 4 years ago
- 基于知识图谱的中文问答系统(EA-CKGQA)☆37Updated 5 years ago
- A Chinese KBQA dataset with SPARQL annotations.☆142Updated 5 years ago
- 2020语言与智能技术竞赛:关系抽取任务☆65Updated 4 years ago
- NLP关系抽取:序列标注、层叠式指针网络、Multi-head Selection、Deep Biaffine Attention☆100Updated 3 years ago
- 将bert模型应用到问答系统中来,一者学习知识图谱的基本操作,二简单搭建问答系统的基本框架,三将词向量、bert模型实践应用☆59Updated 5 years ago
- 使用torch整合两种经典的指针NER抽取范式,分别是SpanBert和苏神的GlobalPointer,简单加了些tricks,配置后一键运行☆131Updated 9 months ago
- 实体链接demo☆65Updated 6 years ago
- Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCN…☆76Updated 2 years ago
- 基于transformers的三元组抽取☆35Updated 3 years ago
- Knowledge Graph☆170Updated 2 years ago
- Tplinker注释,中文数据集适配版本☆59Updated 4 years ago
- code for ACL2020:《FLAT: Chinese NER Using Flat-Lattice Transformer》 我注释&修改&添加了部分源码,使得大家更容易复现这个代码。☆56Updated 4 years ago
- 2019百度的关系抽取比赛,使用Pytorch实现苏神的模型,F1在dev集可达到0.75,联合关系抽取,Joint Relation Extraction.☆313Updated 4 years ago
- lic2020关系抽取比赛,使用Pytorch实现苏神的模型。☆101Updated 4 years ago
- 基于Pytorch的命名实体识别框架,支持LSTM+CRF、Bert+CRF、RoBerta+CRF等框架☆83Updated last year
- 中文关系抽取☆136Updated 6 years ago
- 实体识别和关系抽取的联合模型☆121Updated 6 years ago
- TPlinker for NER 中文/英文命名实体识别☆123Updated 3 years ago
- NLP句子编码、句子embedding、语义相似度:BERT_avg、BERT_whitening、SBERT、SmiCSE☆175Updated 3 years ago
- 阿里天池赛:CCKS2021 运营商知识图谱推理问答☆48Updated 3 years ago