Pinned Repositories
Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
ace05_ERE
Entity/Relation/Event extraction on ACE 2005 corpus
ace2005chinese_preprocess
ACE 2005 corpus preprocessing for Event Extraction task
bionlp-genia-ee
Event extraction for Genia corpus
CCKS-2020-event-extraction
chinese-event-extraction-pytorch
一个简单的中文事件抽取模型，触发词和实体联合标注识别，同时判定实体角色。
ComplexEventExtraction
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。
crees
Crisis Event Extraction Service (CREES)
Event-Extraction
近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
text-classification-surveys
文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、TextCNN、RCNN等，浅层学习模型，如LightGBM 、SVM、XGboost等。介绍文本分类数据集、评价指标和技术挑战，包括多标签文本分类。
AIlearning666's Repositories
AIlearning666/text-classification-surveys
文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、TextCNN、RCNN等，浅层学习模型，如LightGBM 、SVM、XGboost等。介绍文本分类数据集、评价指标和技术挑战，包括多标签文本分类。
AIlearning666/Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
AIlearning666/ace05_ERE
Entity/Relation/Event extraction on ACE 2005 corpus
AIlearning666/ace2005chinese_preprocess
ACE 2005 corpus preprocessing for Event Extraction task
AIlearning666/bionlp-genia-ee
Event extraction for Genia corpus
AIlearning666/CCKS-2020-event-extraction
AIlearning666/chinese-event-extraction-pytorch
一个简单的中文事件抽取模型，触发词和实体联合标注识别，同时判定实体角色。
AIlearning666/ComplexEventExtraction
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。
AIlearning666/crees
Crisis Event Extraction Service (CREES)
AIlearning666/Event-Extraction
近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
AIlearning666/EventMiner
Event extraction pipeline.
AIlearning666/GEANet-BioMed-Event-Extraction
Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs
AIlearning666/HMEAE
Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".
AIlearning666/javascript-detect-element-resize
A Cross-Browser, Event-based, Element Resize Detection
AIlearning666/Sound_event_detection
This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad if you're interested in using it for research purpose or DCASE participation.