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Found 6 papers, 4 papers with code
Lost in Recursion: Mining Rich Event Semantics in Knowledge Graphs
In this paper, we show how narratives concerning complex events can be constructed and utilized.
On Dimensions of Plausibility for Narrative Information Access to Digital Libraries
Moreover, we contribute a set of dimensions that must be considered when realizing narrative information access in digital libraries.
It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects
In this paper we introduce a novel and lightweight structure for event-centric knowledge graphs, which for the first time allows for queries incorporating viewpoint-dependent and narrative aspects.
A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries
This paper tackles the question how digital libraries can handle such extractions and if their quality is sufficient in practice.
Prompt Tuning or Fine-Tuning - Investigating Relational Knowledge in Pre-Trained Language Models
In this work, we propose using a completely different approach: Instead of spending resources on training an additional model, we simply perform an adaptive fine-tuning of the pre-trained language model on the standard fill-mask task using a small training dataset of existing facts from a knowledge graph.
A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge
Research into COVID-19 is a big challenge and highly relevant at the moment.
Digital Libraries
