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Deep neural approaches to relation triplets extraction: A comprehensive survey
The task of relation extraction is about identifying entities and relations among them in free
text for the enrichment of structured knowledge bases (KBs). In this paper, we present a …
text for the enrichment of structured knowledge bases (KBs). In this paper, we present a …
Span-based joint entity and relation extraction with transformer pre-training
M Eberts, A Ulges - ECAI 2020, 2020 - ebooks.iospress.nl
We introduce SpERT, an attention model for span-based joint entity and relation extraction.
Our key contribution is a light-weight reasoning on BERT embeddings, which features entity …
Our key contribution is a light-weight reasoning on BERT embeddings, which features entity …
Deep purified feature mining model for joint named entity recognition and relation extraction
Y Wang, Y Wang, Z Sun, Y Li, S Hu, Y Ye - Information Processing & …, 2023 - Elsevier
Table filling based joint named entity recognition and relation extraction task aims to share
representation of subtasks in a table to extract structured knowledge. However, most of …
representation of subtasks in a table to extract structured knowledge. However, most of …