DbbD1999

DbbD1999's Stars

• ShaneSpace/MyResearchWorksPublic

  Language:Python5014

• merialdo/research.lpca

  This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddings for Link Prediction: A Comparative Analysis" (https://arxiv.org/abs/2002.00819). Principal contributor: ANDREA ROSSI (https://github.com/AndRossi)

  Language:Python7319

• LYuhang/Trans-Implementation

  Implement of TransE, TransH, KG2E with pytorch

  Language:Python22451

• thunlp/OpenKE

  An Open-Source Package for Knowledge Embedding (KE)

  Language:Python3.9k983

• MLNLP-World/Top-AI-Conferences-Paper-with-Code

  MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

  2.6k603

• thunlp/HATT-Proto

  Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

  Language:Python18835

• orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch

  Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

  Language:Python1k210

• thunlp/OpenNRE

  An Open-Source Package for Neural Relation Extraction (NRE)

  Language:Python4.4k1.1k

• mrbulb/ONEPIECE-KG

  a knowledge graph project for ONEPIECE /《海贼王》知识图谱

  Language:HTML22729

• xiaofei05/Distant-Supervised-Chinese-Relation-Extraction

  基于远监督的中文关系抽取

  Language:Python38462

• ShomyLiu/pytorch-pcnn

  supervised relation extraction for PCNN (Zeng 2014) in pytorch 关系抽取

  Language:Perl13740

• tkipf/relational-gcn

  Keras-based implementation of Relational Graph Convolutional Networks

  Language:Python798133

• ZeroRin/BertGCN

  Language:Python26781

• yanqiuxia/joint_entrel_gcn

  采用gcn实体和关系抽取

  Language:Python22

• lizhou21/EA-WGCN

  A Weighted GCN with Logical Adjacency Matrix for Relation Extraction (ECAI2020)

  Language:Python141

• MichSchli/RelationPrediction

  Implementation of R-GCNs for Relational Link Prediction

  Language:Python449104

• Cartus/AGGCN

  Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

  Language:Python43488

• percent4/R-BERT_for_people_relation_extraction

  使用R-BERT模型对人物关系模型进行分类，效果有显著提升。

  Language:Python242

• Xie-Minghui/MultiHeadJointEntityRelationExtraction_simple

  实体关系抽取，使用了百度比赛的数据集。使用pytorch实现MultiHeadJointEntityRelationExtraction，包含Bert、Albert、gru的使用，并且添加了对抗训练。最后使用Flask和Neo4j图数据库对模型进行了部署

  Language:Python12011

• taishan1994/awesome-chinese-ner

  中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集，以及中文预训练模型、词向量、实体识别综述等。

  64547

• taishan1994/awesome-relation-extraction

  关系抽取

  574

• suamin/MIL-RBERT

  MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)

  Language:Python196

• declare-lab/RelationPrompt

  This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

  Language:Python12717

• zhengyima/kg-baseline-pytorch

  2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

  Language:Python31356

• yuboona/Chinese-Punctuation-Restoration-with-Bert-CNN-RNN

  A Bert-CNN-LSTM model for punctuation restoration

  Language:Jupyter Notebook548

• LindgeW/MetaAug4NER

  Robust Self-augmentation for NER with Meta-reweighting

  Language:Python294

• ShuheWang1998/GNN-SL

  Language:Python6

• jiesutd/LatticeLSTM

  Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

  Language:Python1.8k454

• v-mipeng/LexiconAugmentedNER

  Reject complicated operations for incorporating lexicon for Chinese NER.

  Language:Python43767

• rxy007/cnn-lstm-crf

  cnn bilstm crf 作中文命名实体识别

  Language:Python134