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Found 5 papers, 3 papers with code
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
We tested our approach on a dataset of 2, 000 tweets about eating disorders, finding that merging word embeddings with knowledge graph information enhances the predictive models' reliability.
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
Mapping languages, e. g., RML and R2RML, facilitate declarative specification of the process of applying meta-data and integrating data into a knowledge graph.
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from the text, and possibly linking them to proper matches in Knowledge Graphs (KGs).
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text
Short texts challenge NLP tasks such as named entity recognition, disambiguation, linking and relation inference because they do not provide sufficient context or are partially malformed (e. g. wrt.
