Global-to-Local Neural Networks for Document-Level Relation Extraction

1 code implementation • EMNLP 2020 • Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun

Relation extraction (RE) aims to identify the semantic relations between named entities in text.

Document-level Relation Extraction Relation

Open Knowledge Enrichment for Long-tail Entities

1 code implementation • 15 Feb 2020 • Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu

In this paper, we propose a full-fledged approach to knowledge enrichment, which predicts missing properties and infers true facts of long-tail entities from the open Web.

Recurrent Skipping Networks for Entity Alignment

no code implementations • 6 Nov 2018 • Lingbing Guo, Zequn Sun, Ermei Cao, Wei Hu

We consider the problem of learning knowledge graph (KG) embeddings for entity alignment (EA).

Entity Alignment