Papers by Salvatore Trani

1 papers
FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis (2025.findings-emnlp)

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Challenge: a lack of structured datasets hinders natural language processing research . a new dataset of food safety documents and related metadata is presented .
Approach: They present a dataset of human-written and Large Language Model (LLM)-generated food safety documents . they evaluate their utility on three NLP tasks directly reflecting food safety practices .
Outcome: The proposed dataset performs comparably or better than human summaries on three NLP tasks . it also shows clustering of summary for event tracking and compliance monitoring .

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