Author

Francesco Osborne

3 papers indexed here

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Review Sep 2026

Scoring Grant Applications with Large Language Models

Purpose: Assessing grant applications is time-consuming and difficult, adding to the overall burden of academic peer review. Whilst funders are exploring whether AI can help, there is no published research into the accuracy of Large Language Models (LLMs) for scoring contemporary grants. Design/methodology/approach: Th...

Mike Thelwall, David Pride, Francesco Osborne et al. · 0 citations

Preprint Aug 2026

COCI: Conference Organisers and Content Identifier

The Conference Organisers and Content Identifier (COCI) is presented, an AI-based framework designed to extract fine-grained, structured metadata from raw CfP texts and bridges the gap between informal scholarly dissemination and structured Semantic Web resources.

Angelo Salatino, Francesco Osborne, Alexis Vizcaino et al. · 0 citations

Preprint Aug 2026

A Pathway for Assessing Grey Literature: Leveraging AI to Extract Conference Metadata and Organiser Information from Calls for Papers

COCI, an AI-based framework that automates the extraction of granular, structured metadata from raw CfP text, establishes a foundation for the systematic analysis of grey literature, enabling new research opportunities and shifting the scholarly focus towards non-publisher-based events.

Angelo Salatino, Francesco Osborne, Alexis Vizcaino et al. · 0 citations