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Found 2 papers, 1 papers with code
Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph
DDM enables a fine-grained representation of the hierarchical structure and semantic relationships within academic papers, while KGQP leverages the KG structure to improve query accuracy and efficiency with LLMs.
TNNT: The Named Entity Recognition Toolkit
Extraction of categorised named entities from text is a complex task given the availability of a variety of Named Entity Recognition (NER) models and the unstructured information encoded in different source document formats.
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