@inproceedings{park-kim-2019-relation,
title = "Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism",
author = "Park, Seong Sik and
Kim, Harksoo",
editor = "Thorne, James and
Vlachos, Andreas and
Cocarascu, Oana and
Christodoulopoulos, Christos and
Mittal, Arpit",
booktitle = "Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/D19-6608/",
doi = "10.18653/v1/D19-6608",
pages = "47--51",
abstract = "Many previous studies on relation extrac-tion have been focused on finding only one relation between two entities in a single sentence. However, we can easily find the fact that multiple entities exist in a single sentence and the entities form multiple relations. To resolve this prob-lem, we propose a relation extraction model based on a dual pointer network with a multi-head attention mechanism. The proposed model finds n-to-1 subject-object relations by using a forward de-coder called an object decoder. Then, it finds 1-to-n subject-object relations by using a backward decoder called a sub-ject decoder. In the experiments with the ACE-05 dataset and the NYT dataset, the proposed model achieved the state-of-the-art performances (F1-score of 80.5{\%} in the ACE-05 dataset, F1-score of 78.3{\%} in the NYT dataset)"
}
Markdown (Informal)
[Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism](https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/D19-6608/) (Park & Kim, 2019)
ACL