GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → crownpku → Information Extraction Chinese

crownpku / 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

Programming Languages

python
139335 projects - #7 most used programming language

Labels

nlpnamed-entity-recognitionrelation-extractioninformation-extractionchinese-nlp

Projects that are alternatives of or similar to Information Extraction Chinese

InformationExtractionSystem
Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.
Stars: ✭ 27 (-98.57%)
Mutual labels:  information-extraction, named-entity-recognition, relation-extraction
lima
The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.
Stars: ✭ 75 (-96.03%)
Mutual labels:  information-extraction, named-entity-recognition, relation-extraction
IE Paper Notes
Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).
Stars: ✭ 14 (-99.26%)
Mutual labels:  information-extraction, named-entity-recognition, relation-extraction
CogIE
CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021
Stars: ✭ 47 (-97.51%)
Mutual labels:  information-extraction, named-entity-recognition, relation-extraction
knowledge-graph-nlp-in-action
从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
Stars: ✭ 58 (-96.93%)
Mutual labels:  information-extraction, named-entity-recognition, relation-extraction
Awesome Hungarian Nlp
A curated list of NLP resources for Hungarian
Stars: ✭ 121 (-93.59%)
Mutual labels:  named-entity-recognition, information-extraction
Aggcn
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Stars: ✭ 318 (-83.16%)
Mutual labels:  relation-extraction, information-extraction
Triggerner
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
Stars: ✭ 141 (-92.53%)
Mutual labels:  named-entity-recognition, information-extraction
Usc Ds Relationextraction
Distantly Supervised Relation Extraction
Stars: ✭ 378 (-79.98%)
Mutual labels:  relation-extraction, information-extraction
Tacred Relation
PyTorch implementation of the position-aware attention model for relation extraction
Stars: ✭ 271 (-85.65%)
Mutual labels:  relation-extraction, information-extraction
Snips Nlu
Snips Python library to extract meaning from text
Stars: ✭ 3,583 (+89.78%)
Mutual labels:  named-entity-recognition, information-extraction
Gigabert
Zero-shot Transfer Learning from English to Arabic
Stars: ✭ 23 (-98.78%)
Mutual labels:  named-entity-recognition, relation-extraction
Dan Jurafsky Chris Manning Nlp
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (-93.43%)
Mutual labels:  named-entity-recognition, information-extraction
Gcn Over Pruned Trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
Stars: ✭ 312 (-83.47%)
Mutual labels:  relation-extraction, information-extraction
Casrel
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
Stars: ✭ 329 (-82.57%)
Mutual labels:  relation-extraction, information-extraction
Oie Resources
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Stars: ✭ 283 (-85.01%)
Mutual labels:  relation-extraction, information-extraction
Open Entity Relation Extraction
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
Stars: ✭ 350 (-81.46%)
Mutual labels:  relation-extraction, information-extraction
Nested Ner Tacl2020 Transformers
Implementation of Nested Named Entity Recognition using BERT
Stars: ✭ 76 (-95.97%)
Mutual labels:  named-entity-recognition, information-extraction
Jointre
End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)
Stars: ✭ 41 (-97.83%)
Mutual labels:  named-entity-recognition, relation-extraction
Distre
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Stars: ✭ 75 (-96.03%)
Mutual labels:  relation-extraction, information-extraction
View All Similar Projects ➔

Information-Extraction-Chinese

Chinese information extraction, including named entity recognition, relation extraction and more, focused on state-of-art deep learning methods.

To make clear, this project has several sub-tasks with detailed separate README.md.

Chinese Relation Extraction by biGRU with Character and Sentence Attentions

Details in folder RE_BGRU_2ATT/

Chinese Named Entity Recognition by IDCNN/biLSTM with CRF layer

Details in folder NER_IDCNN_CRF/

Chinese Word Segmentation by Iterated Dilated Convolutions

Details at https://github.com/hankcs/ID-CNN-CWS

Reference

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].