chendebiyelunwen Goto Github PK

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

at4chinesener

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

awesome-knowledge-graph

整理知识图谱相关学习资料

blstm_ner

brat

标注工具brat rapid annotation tool (brat) - for all your textual annotation needs

caj2pdf

Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。

ccks-2017-task2

chinesener

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

chinesenre

中文实体关系抽取，pytorch，bilstm+attention

constructingneeg_ijcai_2018

The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction

crfsharp

CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

fact_triple_extraction

使用句法依存分析抽取事实三元组

figer

Fine-Grained Entity Recognizer

fudandnn

get_aligned_bert_emb

Get the aligned BERT embedding for sequence labeling tasks

hierarchical-typing

Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"

ie-survey

北京航空航天大学大数据高精尖中心自然语言处理研究团队对信息抽取领域的调研。包括实体识别，关系抽取，属性抽取等子任务，每类子任务分别对学术界和工业界进行调研。

information-extraction-chinese

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

jiagu

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要

jianshu

python scrapy入门

joint-extraction-of-entities-and-relations-based-on-a-novel-tagging-scheme

Joint Extraction of Entities and Relations Based on cnn+rnn

jsonld-java

JSON-LD implementation for Java

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

knowledge-graph

深度学习与自然语言处理、知识图谱、对话系统。包括知识获取、知识库构建、知识库应用三大技术研究与应用。

knowledge_graph_demo

This is a demo for a simple knowledge graph.

mfa4re

Code for modeling attention network for distant supervised relation extraction

multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

neo4j-kgbuilder

Neo4j+springboot+vue+d3.js知识图谱构建和可视化