event-extraction

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?

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

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。

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）

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

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

ACE 2005 corpus preprocessing for Event Extraction task

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

CCKS2019评测任务五-公众公司公告信息抽取，第3名

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

Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

Papers from top conferences and journals for event extraction in recent years

ACE 2005 corpus preprocessing for Event Extraction task

Information extraction dataset zoo.

Literature Survey of Information Extraction, especially Relation Extraction, Event Extraction, and Slot Filling.

一个简单的中文事件抽取模型，触发词和实体联合标注识别，同时判定实体角色。

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet

Code for "Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works" (ICASSP 2022)

Information Extraction Dataset Zoo.

Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"

DeepEE: Deep Event Extraction Algorithm Gallery (基于深度学习的开源中文事件抽取算法汇总)

Focusing on ACE 2005 data preprocessing, we provide doc-level, sentence-level and BIO-style golden data preprocessing, the only thing you need is the ACE05 row data. Hope you enjoy!😎

Source code for the ACL 2021 paper "MLBiNet: A Cross-Sentence Collective Event Detection Network ".

Template Extraction from unstructured Wikipedia text using NLP techniques.

基于pytorch+bert的中文事件抽取

Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)

A package that extracts Persian time and date markers by applying regexes.