phoemi's starred repositories
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
nlp-journey
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
SIFRank_zh
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）
Chinese-XLNet
Pre-Trained Chinese XLNet（中文XLNet预训练模型）
2019-CCF-BDCI-Finance-Information-Negative-Judgment
top1-solution
Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
ccf_financial_negative
CCF BDCI 金融信息负面及主体判定 冠军代码
CCKS2019_EventEntityExtraction_Rank5
SEBERTNets：一种面向金融领域的事件主体抽取方法
BDCI2019-Negative_Finance_Info_Judge
BDCI2019金融负面信息判定-线上第一名
CCF-BDCI-Sentiment-Analysis-Baseline
The code for CCF-BDCI-Sentiment-Analysis-Baseline
BERT-for-Sequence-Labeling-and-Text-Classification
This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
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
Multiple-Relations-Extraction-Only-Look-Once
Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
Entity-Relation-Extraction
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
AreaCity-JsSpider-StatsGov
省市区县乡镇三级或四级城市数据，带拼音标注、坐标、行政区域边界范围；2024年06月16日最新采集，提供csv格式文件，支持在线转成多级联动js代码、通用json格式，提供软件转成shp、geojson、sql、导入数据库；带浏览器里面运行的js采集源码，综合了中华人民共和国民政部、国家统计局、高德地图、腾讯地图行政区划数据
from_coder_to_expert
2021年最新总结，从程序员到CTO，从专业走向卓越，分享大牛企业内部pdf与PPT
CCKS2019-Task5
CCKS2019评测任务五-公众公司公告信息抽取，第3名
Recognizers-Text
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
ccks-2020-finance-transfer-ee-baseline
CCKS2020面向金融领域的小样本跨类迁移事件抽取baseline
DL_EventExtractionPapers
2015年以来基于深度学习方法的事件抽取论文整理