Exploring self-distillation based relational reasoning training for document-level relation extraction
Document-level relation extraction (RE) aims to extract relational triples from a document.
One of its primary challenges is to predict implicit relations between entities, which are not …
One of its primary challenges is to predict implicit relations between entities, which are not …
End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction
K Qi, J Du, H Wan - Proceedings of the 62nd Annual Meeting of …, 2024 - aclanthology.org
Document-level relation extraction (DocRE) aims to extract relations between entities in a
whole document. One of the pivotal challenges of DocRE is to capture the intricate …
whole document. One of the pivotal challenges of DocRE is to capture the intricate …
Doctime: A document-level temporal dependency graph parser
We introduce DocTime-a novel temporal dependency graph (TDG) parser that takes as input
a text document and produces a temporal dependency graph. It outperforms previous BERT …
a text document and produces a temporal dependency graph. It outperforms previous BERT …
Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training
Modern supervised learning neural network models require a large amount of manually
labeled data, which makes the construction of domain-specific knowledge graphs time …
labeled data, which makes the construction of domain-specific knowledge graphs time …