The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验、自动合并和手动调整，提高了标注结果的准确率。

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

A list of NLP resources focused on event extraction task

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

A comprehensive, unified and modular event extraction toolkit.

Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus

[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text

Guideline following Large Language Model for Information Extraction

ACE 2005 corpus preprocessing for Event Extraction task

🕹️ A toolkit for document-level event extraction, containing some SOTA model implementations.

An open-source and powerful Information Extraction toolkit based on GPT (GPT for Information Extraction; GPT4IE for short)。Note: we set a default openai key in the tool, you can tell us if the key reach the limit.

[ACL 2024] IEPile: A Large-Scale Information Extraction Corpus

使用基于Transformer的预训练模型在ACE2005数据集上进行事件抽取任务

Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

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).

CCKS2019评测任务五-公众公司公告信息抽取，第3名