Fen Lin — accepted AI-conference papers

2021

Open Hierarchical Relation Extraction

Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin +2

NAACL 2021long

Open relation extraction (OpenRE) aims to extract novel relation types from open-domain corpora, which plays an important role in completing the relation schemes of knowledge bases (KBs). Most OpenRE methods cast different relation types in isolation without considering their hierarchical dependency…

Cited by 38 Source ↗PDF ↗code ↗Scholar ↗

2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification

Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu +3

COLING 2020main

Few-shot classification requires classifiers to adapt to new classes with only a few training instances. State-of-the-art meta-learning approaches such as MAML learn how to initialize and fast adapt parameters from limited instances, which have shown promising results in few-shot classification. How…

Cited by 49 Source ↗PDF ↗code ↗Scholar ↗