HNREHierarchical Neural Relation Extraction
Stars: ✭ 93 (+615.38%)
Mutual labels: relation-extraction
Shukongdashi使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统
Stars: ✭ 109 (+738.46%)
Mutual labels: relation-extraction
KGPool[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
Stars: ✭ 33 (+153.85%)
Mutual labels: relation-extraction
relation-extraction-rnnBi-directional LSTM model for relation extraction
Stars: ✭ 22 (+69.23%)
Mutual labels: relation-extraction
m3gmMax-Margin Markov Graph Models for WordNet (EMNLP 2018)
Stars: ✭ 40 (+207.69%)
Mutual labels: relation-extraction
InformationExtractionSystemInformation Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.
Stars: ✭ 27 (+107.69%)
Mutual labels: relation-extraction
Soft-ModuleCode for "Multi-task Reinforcement Learning with Soft Modularization"
Stars: ✭ 71 (+446.15%)
Mutual labels: multitask-learning
PathNRESource code and dataset of EMNLP2017 paper "Incorporating Relation Paths in Neural Relation Extraction".
Stars: ✭ 42 (+223.08%)
Mutual labels: relation-extraction
Relation-ClassificationRelation Classification - SEMEVAL 2010 task 8 dataset
Stars: ✭ 46 (+253.85%)
Mutual labels: relation-extraction
VERSEVancouver Event and Relation System for Extraction
Stars: ✭ 13 (+0%)
Mutual labels: relation-extraction
JointIDSFBERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
Stars: ✭ 55 (+323.08%)
Mutual labels: multitask-learning
SGDepth[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Stars: ✭ 162 (+1146.15%)
Mutual labels: multitask-learning
pynsettA programmable relation extraction tool
Stars: ✭ 25 (+92.31%)
Mutual labels: relation-extraction
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (+192.31%)
Mutual labels: multitask-learning
TaskRouting(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html
Stars: ✭ 61 (+369.23%)
Mutual labels: multitask-learning
Ask2TransformersA Framework for Textual Entailment based Zero Shot text classification
Stars: ✭ 102 (+684.62%)
Mutual labels: relation-extraction
YOLOPYou Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)
Stars: ✭ 1,228 (+9346.15%)
Mutual labels: multitask-learning
Relation-Extraction-TransformerNLP: Relation extraction with position-aware self-attention transformer
Stars: ✭ 63 (+384.62%)
Mutual labels: relation-extraction
FDDCNamed Entity Recognition & Relation Extraction 实体命名识别与关系分类
Stars: ✭ 29 (+123.08%)
Mutual labels: relation-extraction
knodleA PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Stars: ✭ 76 (+484.62%)
Mutual labels: relation-extraction