Reinforcement Learning for Distantly Supervised Relation Extraction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930340
Abstract: Relation extraction is a task of identifying semantic relations between entity pairs from plain text, which can benefit a lot of AI applications such as knowledge base construction and answer questioning. The distant supervision strategy… read more here.
Keywords: label; reinforcement learning; distantly supervised; relation extraction ... See more keywords
Interaction-and-Response Network for Distantly Supervised Relation Extraction.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3233971
Abstract: Distantly supervised relation extraction (DSRE) aims to identify semantic relations from massive plain texts. A broad range of the prior research has leveraged a series of selective attention mechanisms over sentences in a bag to… read more here.
Keywords: distantly supervised; relation extraction; interaction response; supervised relation ... See more keywords
Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095573
Abstract: Data-to-text generation plays an important role in natural language processing by processing structured data and helping people understand those data by generating user-friendly descriptive text. It can be applied to news generation, financial report generation,… read more here.
Keywords: distantly supervised; data text; generation; supervised data ... See more keywords