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awesome-capsule-networks

A curated list of awesome resources related to capsule networks

OpenNRE

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

AtNRE

Adversarial Training for Neural Relation Extraction

StructMineDataPipeline

Performs entity detection, distant supervision, candidate generation, and produces JSON files for typing systems (PLE, AFET, CoType)

RelationClassification-RL

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

USC-DS-RelationExtraction

Distantly Supervised Relation Extraction

Text-Classification

Implementation of papers for text classification task on DBpedia

ResCNN_RelationExtraction

Deep Residual Learning for Weakly-Supervised Relation Extraction: https://arxiv.org/abs/1707.08866

neural-collaborative-filtering

pytorch version of neural collaborative filtering

PathNRE

Source code and dataset of EMNLP2017 paper "Incorporating Relation Paths in Neural Relation Extraction".

Fast-TransX

An Efficient implementation of TransE and its extended models for Knowledge Representation Learning

KNET

Neural Entity Typing with Knowledge Attention

ds_pcnns

golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

LM-LSTM-CRF

Empower Sequence Labeling with Task-Aware Language Model

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-acnn-model

code of Relation Classification via Multi-Level Attention CNNs

Chinese-Literature-NER-RE-Dataset

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

ReHession

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach

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

triplets-extraction

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

LSTM-ER

Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

BDCI2017-MingLue

BDCI2017-让AI当法官，决赛第四（4/415）https://www.datafountain.cn/competitions/277/details

OpenNE

An Open-Source Package for Network Embedding (NE)

deepwalk

DeepWalk - Deep Learning for Graphs