Mleader2 / simple_effective_text_matching_ChineseLinks
为提高推理速度优化代码,并在中文语料上复现RE2模型
☆15Updated 2 years ago
Alternatives and similar repositories for simple_effective_text_matching_Chinese
Users that are interested in simple_effective_text_matching_Chinese are comparing it to the libraries listed below
Sorting:
- 非常好用的工具包,可以直接安装并使用☆21Updated 3 years ago
- 2020语言与智能技术竞赛:面向推荐的对话任务☆52Updated 4 years ago
- ☆29Updated 6 years ago
- Implemented transformer NN block for Machine translation, text classfication, Natural language inference as well as Machine reading compr…☆11Updated last month
- 2019 语言与智能技术竞赛-知识驱动对话 B榜第5名源码和模型☆27Updated 6 years ago
- 2021语言与智能技术竞赛:多技能对话任务☆23Updated 4 years ago
- The code and dataset for "FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framewo…☆24Updated 3 years ago
- pytorch版基于gpt+nezha的中文多轮Cdial☆12Updated 3 years ago
- 基于BERT的中文命名实体识别(pytorch)☆18Updated 6 years ago
- ☆51Updated 4 years ago
- huggingface ChineseBert Tokenizer☆16Updated 3 years ago
- reformer-pytorch中文版本,简单高效的生成模型。类似GPT2的效果☆16Updated 2 years ago
- lasertagger-chinese;lasertagger中文学习案例,案例数据,注释,shell运行☆76Updated 2 years ago
- 无监督文本生成的一些方法☆49Updated 4 years ago
- 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☆27Updated 6 years ago
- 精简版NEZHA模型权重☆21Updated 5 years ago
- Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation☆22Updated 5 years ago
- 基于“Seq2Seq+前缀树”的知识图谱问答☆70Updated 4 years ago
- CTC2021-中文文本纠错大赛的SOTA方案及在线演示☆73Updated 2 years ago
- sodic2021 法律咨询智能问答 Baseline 线上35+☆17Updated 4 years ago
- 基于Pytorch实现的中文文本分类脚手架,以及常用模型对比。☆18Updated 4 years ago
- this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large☆66Updated 5 years ago
- ☆23Updated 6 years ago
- WoBERT_pytorch☆40Updated 4 years ago
- Label Mask for Multi-label Classification☆57Updated 4 years ago
- 全球人工智能技术创新大赛-赛道三:小布助手对话短文本语义匹配☆38Updated 4 years ago
- 用BERT在百度WebQA中文问答数据集上做阅读问答☆64Updated 5 years ago
- ☆61Updated 6 years ago
- This is the official code for paper titled "Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models".☆68Updated 4 years ago
- 基于BERT的预训练语言模型实现,分为两步:预训练和微调。目前已包括BERT、Roberta、ALbert三个模型,且皆可支持Whole Word Mask模式。☆18Updated 6 years ago