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Article overview
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MORE: A Metric Learning Based Framework for Open-domain Relation Extraction | | Yutong Wang
; Renze Lou
; Kai Zhang
; MaoYan Chen
; Yujiu Yang
; | | Date: |
1 Jun 2022 | | Abstract: | Open relation extraction (OpenRE) is the task of extracting relation schemes
from open-domain corpora. Most existing OpenRE methods either do not fully
benefit from high-quality labeled corpora or can not learn semantic
representation directly, affecting downstream clustering efficiency. To address
these problems, in this work, we propose a novel learning framework named MORE
(Metric learning-based Open Relation Extraction). The framework utilizes deep
metric learning to obtain rich supervision signals from labeled data and drive
the neural model to learn semantic relational representation directly.
Experiments result in two real-world datasets show that our method outperforms
other state-of-the-art baselines. Our source code is available on Github. | | Source: | arXiv, 2206.00289 | | Services: | Forum | Review | PDF | Favorites | |
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