A Frustratingly Easy Approach for Entity and Relation Extraction本文是论文A Frustratingly Easy Approach for Entity and Relati
2021-12-01
PURE: A Frustratingly Easy Approach for Entity and Relation Extraction
Two are Better than One: Joint Entity and Relation Extraction with Table - Sequence Encoders
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
CasRel: A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
A Unified MRC Framework for Named Entity Recognition
HypE: 知识图谱超图补全
Pytorch实现: VAE
Introduction: Variational Auto - Encoder
知识蒸馏: Distilling the Knowledge in a Neural Network
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
UniLM: Unified Language Model Pre-training for Natural Language Understanding and Generation
MASS: Masked Sequence to Sequence Pre - training for Language Generation