liucongg / MolChat
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MolChat
- pytorch版基于gpt+nezha的中文多轮Cdial☆11Updated 2 years ago
- training BART from scratch☆12Updated 2 years ago
- GAU-alpha-pytorch☆19Updated 2 years ago
- ☆10Updated 3 years ago
- The very easy BERT pretrain process by using tokenizers and transformers repos☆31Updated 4 years ago
- DescriptionPairsExtraction, entity and it's description pairs extract program based on Albert and data back-annotation. 基于Albert与结构化数据回标思…☆20Updated 2 years ago
- pytorch版simcse无监督语义相似模型☆22Updated 3 years ago
- ☆13Updated 2 years ago
- ☆53Updated 2 years ago
- 面向金融领域的小样本跨类迁移事件抽取 第三名 方案及代码☆15Updated 3 years ago
- RDrop 的 torch版☆15Updated 3 years ago
- 擂台赛3-大规模预训练调优比赛的示例代码与baseline实现☆38Updated 2 years ago
- Code for Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition [JBI]☆15Updated 2 years ago
- 无监督文本生成的一些方法☆49Updated 3 years ago
- ☆45Updated 2 years ago
- The source code of paper "PAIR-LEVEL SUPERVISED CONTRASTIVE LEARNING FOR NATURAL LANGUAGE INFERENCE" at ICASSP 2022.☆47Updated last year
- 天池-新冠疫情相似句对判定大赛 大白_Rank6☆22Updated 4 years ago
- Apply the Circular to the Pretraining Model☆38Updated 2 years ago
- The source code of paper "An Effective System for Multi-format Information Extraction".☆18Updated 3 years ago
- Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation☆22Updated 4 years ago
- Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP 2021)☆10Updated 2 years ago
- 对抗训练在NLP中的应用☆12Updated 2 years ago
- Apply Iprompt on GLM with innovative new methods. Currently support Chinese QA, English QA and Chinese poem generation.☆21Updated 2 years ago
- 分享一些S2S在实际应用中遇到的问题和解决方法。☆27Updated 4 years ago
- LGEB: Benchmark of Language Generation Evaluation☆16Updated 2 years ago
- ☆9Updated 2 years ago
- AAAI'22-"CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."☆12Updated 3 years ago
- Paradigm shift in natural language processing☆42Updated 2 years ago