Entity linking meets deep learning: Techniques and solutions

W Shen, Y Li, Y Liu, J Han, J Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …

Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning

W Shen, B Yang, Y Liu - Proceedings of the ACM on Web Conference …, 2024 - dl.acm.org
Recent years have witnessed increasing attention on the semantic knowledge integration
between curated knowledge bases (CKBs) and open knowledge bases (OKBs), which is …

A Multi-angle Bidirectional Interaction Model for Entity Linking

B Hui, L Zhang, Y Nian, K Yan… - Available at SSRN …, 2023 - papers.ssrn.com
Entity linking is the task of linking the mention in the text to the corresponding entity in the
knowledge graph. It is the way to achieve entity disambiguation which can be used in …

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

Y Wang, Y Wan, L Bai, L Cui, Z Xu, M Li… - … on Knowledge and …, 2023 - ieeexplore.ieee.org
To ease the process of building Knowledge Graphs (KGs) from scratch, a cost-effective
method is required to enrich a KG using the triples extracted from a corpus. However, it is …

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

Y Wang, Y Wan, L Bai, L Cui, Z Xu, M Li, PS Yu… - arxiv preprint arxiv …, 2022 - arxiv.org
To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general
task is to enrich a KG using triples from an open corpus, where the obtained triples contain …

[PDF][PDF] Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

YW Yue Wang, L Bai, L Cui… - … ON KNOWLEDGE AND …, 2020 - pure-research.york.ac.uk
To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general
task is to enrich a KG using triples from an open corpus, where the obtained triples contain …