BaiDing213 / NLPCC2020-MAMSLinks
NLPCC 2020 MAMS 多属性多情感分析任务 第一名解决方案
☆12Updated 2 years ago
Alternatives and similar repositories for NLPCC2020-MAMS
Users that are interested in NLPCC2020-MAMS are comparing it to the libraries listed below
Sorting:
- Cascade bert+word vec and one layer FLAT, trained by adversarial FGM and Stochastic Weight Averaging☆23Updated 3 years ago
- ccks2020的比赛-面向金融领域的篇章级事件主体与要素抽取(一)事件主体抽取☆17Updated 4 years ago
- NLP实验:新词挖掘+预训练模型继续Pre-training☆48Updated 2 years ago
- Multi-Label Text Classification Based On Bert☆22Updated 2 years ago
- 基于TextCNN,测试三种对抗训练模型(FGSM,PGD,FREE)在text classification上的表现☆14Updated 3 years ago
- 文本分类baseline:BERT、半监督学习UDA、对抗学习、数据增强☆104Updated 4 years ago
- 采用bert进行事件抽取,[cls]进行事件分类,最后一层向量进行序列标注,两个任务同时训练。☆13Updated 4 years ago
- Pytorch进行长文本分类。这里用到的网络有:FastText、TextCNN、TextRNN、TextRCNN、Transformer☆48Updated 5 years ago
- 疫情期间网民情绪识别比赛分享+top1~3解决方案☆51Updated 5 years ago
- 参考NER,基于BERT的电商评论观点挖掘和情感分析☆43Updated 6 years ago
- bert-flat 简化版 添加了很多注释☆15Updated 3 years ago
- ☆41Updated 3 years ago
- knowledge distillation: 采用知识蒸馏,训练bert后指导textcnn☆19Updated 4 years ago
- 科大讯飞事件抽取挑战赛2020Top1☆25Updated 4 years ago
- Summary and comparison of Chinese classification models☆36Updated 2 years ago
- NER任务SOTA模型BERT_MRC☆61Updated last year
- 2022搜狐校园算法大赛NLP赛道第一名开源方案(实验代码)☆88Updated 3 years ago
- 2019之江杯人工智能大赛电商评论观点挖掘赛道top3☆46Updated 5 years ago
- multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search☆33Updated 3 years ago
- 电商评论情感分类☆15Updated 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。☆48Updated 4 years ago
- CCKS2020面向金融领域的小样本跨类迁移事件抽取baseline☆56Updated 2 years ago
- DataFountain第五届达观杯第4名方案☆50Updated 2 years ago
- Toyhom的学习之路,Toyhom's way of learning☆28Updated 5 years ago
- ☆60Updated 5 years ago
- ccks2021事件抽取比赛☆30Updated 4 years ago
- 基于pytorch的TPLinker_plus进行中文命名实体识别☆20Updated 2 years ago
- 疫情期间网民情绪识别比赛baseline,使用BERT进行端到端的fine-tuning,datafountain平台,平台评测F1值0.716。☆36Updated 5 years ago
- 使用ACE2005创建以事件和实体为节点的事件知识图谱,用于智能问答☆18Updated 5 years ago
- 2020语言与智能技术竞赛:事件抽取任务 -- 联合抽取baseline☆55Updated 5 years ago