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A Paper List of Low-resource Information Extraction
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Official implementation of TablERT-CNN, a joint entity and relation extraction system.
Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021. It is based on our NERE toolkit (https://github.com/Receiling/NERE).
Must-read papers on neural relation extraction (NRE)
released code for our EMNLP22 paper: UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
An Open-Source Package for Neural Relation Extraction (NRE)
code of Relation Classification via Multi-Level Attention CNNs
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Neural Relation Extraction implemented in PyTorch
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
CloudMoe Windows 10/11 Activation Toolkit get digital license, the best open source Win 10/11 activator in GitHub. GitHub 上最棒的开源 Win10/Win11 数字权利（数字许可证）激活工具！
Pytorch🍊🍉 is delicious, just eat it! 😋😋
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs.
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
Source code for the Neo4j Graph Data Science library of graph algorithms.
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.