duanzhihua / BDCI2019-SENTIMENT-CLASSIFICATIONLinks
CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案
☆12Updated 5 years ago
Alternatives and similar repositories for BDCI2019-SENTIMENT-CLASSIFICATION
Users that are interested in BDCI2019-SENTIMENT-CLASSIFICATION are comparing it to the libraries listed below
Sorting:
- bert pytorch模型微调用于的多标签文本分类☆134Updated 5 years ago
- multi-label-classification-4-event-type☆136Updated 2 years ago
- 本项目采用Keras和Keras-bert实现文本多标签分类任务,对BERT进行微调。☆67Updated 4 years ago
- Named Recognition Entity based on BERT and CRF 基于BERT+CRF的中文命名实体识别☆184Updated 2 years ago
- pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.☆76Updated 5 years ago
- ccks2020 NER competitions☆119Updated 4 years ago
- SEBERTNets:一种面向金融领域的事件主体抽取方法☆193Updated 3 years ago
- 天池大赛疫情文本挑战赛线上第三名方案分享☆227Updated 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 4 years ago
- 2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案☆72Updated 4 years ago
- 复现论文《Simplify the Usage of Lexicon in Chinese NER》☆42Updated 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
- Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCN…☆76Updated 3 years ago
- 基于Transformers的文本分类☆340Updated 3 years ago
- 多标签文本分类☆53Updated 6 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)☆136Updated 2 years ago
- 中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。☆292Updated 5 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.☆315Updated 5 years ago
- ☆85Updated 5 years ago
- NLP关系抽取:序列标注、层叠式指针网络、Multi-head Selection、Deep Biaffine Attention☆101Updated 4 years ago
- 文本分类baseline:BERT、半监督学习UDA、对抗学习、数据增强☆103Updated 4 years ago
- 中文关系抽取☆136Updated 6 years ago
- 在bert模型的pre_training基础上进行text_cnn文本分类☆78Updated 5 years ago
- 基于预训练模型(BERT,BERT-wwm)的文本分类模板,CCF BDCI新闻情感分析A榜4/2735。☆268Updated 4 years ago
- 一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDem…☆187Updated 6 years ago
- 事件知识图谱构建相关的论文, 包含事件抽取、事件关系识别等任务☆82Updated 2 years ago
- 使用BERT模型做文本分类;面向工业用途☆220Updated 5 years ago
- 本项目是NLP领域一些任务的基准模型实现,包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。☆47Updated 4 years ago
- some baselines for lic2020 (http://lic2020.cipsc.org.cn/)☆218Updated 5 years ago
- NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.☆64Updated 5 years ago