XYQ's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
dive_into_deep_learning
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
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
NeurboParser
A neural TurboSemanticParser as described in "Deep Multitask Learning for Semantic Dependency Parsing", Peng et al., ACL 2017.
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。
Semantic-Role-Labeling
使用LSTM进行端到端的语义角色标注(theano)
Second_Order_SDP
[ACL 2019] Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
ACE05-Processor
UDPipe based preprocessing of the ACE05 dataset
biomedical-event-extraction
using bert, GCN to extracting biomedical event
joint-arglinking
Codebase for CODI paper - Joint Modeling of Arguments for Event Understanding