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Found 5 papers, 2 papers with code
Croissant: A Metadata Format for ML-Ready Datasets
Data is a critical resource for Machine Learning (ML), yet working with data remains a key friction point.
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
In this work, we explore the use of Large Language Models (LLMs) for knowledge engineering tasks in the context of the ISWC 2023 LM-KBC Challenge.
Discovering Fine-Grained Semantics in Knowledge Graph Relations
To do this, we leverage the types of the entities associated with the relations and cluster the vector representations of entities and relations.
Automatic Matching of Paintings and Descriptions in Art-Historic Archives using Multimodal Analysis
In this project description, we propose an approach to retrieve the associations between images and texts for artworks from art-historic archives.
Coverage of Information Extraction from Sentences and Paragraphs
Scalar implicatures are language features that imply the negation of stronger statements, e. g., {``}She was married twice{''} typically implicates that she was not married thrice.
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