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Source code of Abnormal Trajectory Detection
Detect anomaly trajectories using temporal information.
Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
基于深度学习的开源中文关系抽取框架
篇章级事件抽取
事件抽取相关算法汇总
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
近年来事件抽取方法总结,包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型,DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
A list of NLP resources focused on event extraction task
An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取,可用于文本理解如文档主题链,事件线等应用。
使用句法依存分析抽取事实三元组
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
MarkTool是一款基于web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,同时也支持文本的迭代标注和实体的嵌套标注。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,MarkTool增加了审核环节,可对多人的标注结果进行一致性检验和调整,提高了标注语料的准确率和可靠性。
An Open-Source Package for Neural Relation Extraction (NRE)
国密算法js版
SM4 by JavaScript
sm2加密;sm3加密;js国密加密算法
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测
using dbscan cluster to detect anomal trajectories
文本标注项目
This is a clone of an SVN repository at http://word2vec.googlecode.com/svn/trunk. It had been cloned by http://svn2github.com/ , but the service was since closed. Please read a closing note on my blog post: http://piotr.gabryjeluk.pl/blog:closing-svn2github . If you want to continue synchronizing this repo, look at https://github.com/gabrys/svn2github
科大讯飞2020事件抽取挑战赛第一名解决方案&完整事件抽取系统
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