Stars
The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
This code provides word level language identification tool for identifying language for individual words in Code-Mixed text. e.g. The text that includes words from two languages such as Hindi writt…
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
BlueLM(蓝心大模型): Open large language models developed by vivo AI Lab
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Retrieval and Retrieval-augmented LLMs
Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification
ModelScope: bring the notion of Model-as-a-Service to life.
An Open-Source Package for Neural Relation Extraction (NRE)
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
基于论文SpERT: "Span-based Entity and Relation Transformer"的中文关系抽取，同时抽取实体、实体类别和关系类别。
released code for our EMNLP22 paper: UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
MTEB: Massive Text Embedding Benchmark
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
基于pytorch的中文三元组提取（命名实体识别+关系抽取）
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
PyTorch-IE: State-of-the-art Information Extraction in PyTorch
Repo for "MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction" [ACL'2023]
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
ChatGPT 中文指南🔥，ChatGPT 中文调教指南，指令指南，应用开发指南，精选资源清单，更好的使用 chatGPT 让你的生产力 up up up! 🚀
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集，以及中文预训练模型、词向量、实体识别综述等。
AI Paper阅读记录与收藏：机器学习/深度学习/自然语言处理/计算机视觉/智能语音/推荐系统/知识图谱
Supplementary Features of BiLSTM for Enhanced Sequence Labeling