Reducing Wrong Labels for Distantly Supervised Relation Extraction With Reinforcement Learning

Relation extraction (RE) aims to mine semantic relations between entity pairs from plain texts, which plays an important role in various natural language processing (NLP) tasks. However, the existing methods in distant supervision (DS) are sensitive to bags and fail to handle sentence-level relation...

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Autori principali:	Tiantian Chen, Nianbin Wang, Ming He, Liu Sun
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2020-01-01
Serie:	IEEE Access
Soggetti:	Relation extraction distant supervision reinforcement learning label denoising
Accesso online:	https://ieeexplore.ieee.org/document/9079540/
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