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agriculture_knowledgegraph

农业知识图谱(KG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

bcn-cnn-text-classification

Text classification experiments using TextCNNs and Bi-attentive Classification Networks

cail

Chinese AI & Law Challenge

cail-1

司法部智能司法比赛项目,评测指标为 M-f1=(macro-f1+micro-f1)/2。常用深度学习方法能到0.88左右

cail-2

cail-3

**法研杯比赛

cail2018

caipanwenshu

裁判文书网爬虫，vl5x和DocID解密（2018.10.30）

causal_event

金融文本中的原因事件

chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

chinese_ner

中文实体抽取

competition_cail

2018**‘法研杯’法律智能挑战赛（CAIL2018）个人作品

complexeventextraction

A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。

crimekgassitant

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.

event_recognition

企业事件识别

eventtriplesextraction

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。

fddc02_intro

【梳理】FDDC2018金融算法挑战赛02－A股上市公司公告信息抽取

finance_news_analysis

金融新闻数据挖掘分析

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

focal_loss_multi_class

mutil-class focal loss implemented in keras

focalloss

Focal Loss for multi-class classification

graduation

judicial_competition

"**法研杯"司法人工智能挑战赛第一阶段代码

keyword-extraction

关键词抽取，神策杯2018高校算法大师赛比赛，solo 排名3/591

keyword_extraction

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

lawcrimemining

Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目

multi_label_textcnn

textcnn多标签文本分类

multilabel-classification-using-sklearn

multilabel classification is a classification problem in which one sample can have more than one labels.

multilabel-multiclass-classifcation

The project aims to build Multilabel-Multiclass text classifier using Keras framework.

mycail

**法研杯-司法人工智能挑战赛