wzzzd / lm_ner_span
基于实体首尾指针SPAN的序列标注框架
☆27Updated 3 years ago
Alternatives and similar repositories for lm_ner_span:
Users that are interested in lm_ner_span are comparing it to the libraries listed below
- 基于pytorch的GlobalPointer进行中文命名实体识别。☆36Updated last year
- 利用指针网络进行信息抽取,包含命名实体识别、关系抽取、事件抽取。☆123Updated last year
- 基于Pytorch的命名实体识别框架,支持LSTM+CRF、Bert+CRF、RoBerta+CRF等框架☆84Updated last year
- GlobalPointer的优化版/NER实体识别☆116Updated 3 years ago
- 基于词汇信息融合的中文NER模型☆165Updated 2 years ago
- [Unofficial] Predict code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification☆52Updated 2 years ago
- CMeEE/CBLUE/NER实体识别☆127Updated 2 years ago
- pytorch Efficient GlobalPointer☆53Updated 2 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 10 months ago
- 基于bert_mrc的中文命名实体识别☆44Updated 2 years ago
- GPLinker_pytorch☆81Updated 2 years ago
- 超长文本分类(大于1000字);文档级/篇章级文本分类;主要是解决长距离依赖问题☆130Updated 3 years ago
- TPlinker for NER 中文/英文命名实体识别☆123Updated 3 years ago
- 百度2021年语言与智能技术竞赛多形态信息抽取赛道关系抽取部分torch版baseline☆52Updated 3 years ago
- 基于GlobalPointer的实体/关系/事件抽取☆146Updated 3 years ago
- Efficient-GlobalPointer的关系抽取任务☆23Updated 3 years ago
- 本项目采用Keras和Keras-bert实现中文序列标注,对BERT进行微调,并在多个命名实体识别数据集上进行测试。☆47Updated 3 years ago
- CMeIE/CBLUE/CHIP/实体关系抽取/SPO抽取☆227Updated 2 years ago
- 基于pytorch的百度UIE命名实体识别。☆57Updated 2 years ago
- Implemention of NER model on chinese dataset.☆70Updated last year
- OneRel在中文关系抽取中的使用☆118Updated last year
- 使用多头的思想来进行命名实体识别☆33Updated 3 years ago
- NER任务SOTA模型BERT_MRC☆60Updated last year
- 论文复现《Named Entity Recognition as Dependency Parsing》☆129Updated 3 years ago
- 使用bert进行事件抽取。☆43Updated last year
- 使用sentence-transformers(SBert)训练自己的文本相似度数据集并进行评估。☆47Updated 3 years ago
- 基于PaddleNLP开源的抽取式UIE进行医学命名实体识别(torch实现)☆44Updated 2 years ago
- 使用BERT-BiLSTM+CRF进行ner任务(pytorch_lightning版)☆44Updated 2 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
- 基于 pytorch 的 bert 实现和下游任务微调☆50Updated 2 years ago