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Found 5 papers, 2 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.
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy.
Syntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic Simplification
However, it is always hard to understand and retrieve knowledge from unstructured text, which is usually in the form of compound and complex sentences.
A Pipeline for Analysing Grant Applications
In addition to predicting the IC score for each research proposal, we are particularly interested in understanding the vocabulary of innovative proposals.
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.
