AI RESEARCH
MiNER: A Two-Stage Pipeline for Metadata Extraction from Municipal Meeting Minutes
arXiv CS.CL
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ArXi:2602.00316v3 Announce Type: replace Municipal meeting minutes are official documents of local governance, exhibiting heterogeneous formats and writing styles. Effective information retrieval (IR) requires identifying metadata such as meeting number, date, location, participants, and start/end times, elements that are rarely standardized or easy to extract automatically. Existing named entity recognition (NER) models are ill-suited to this task, as they are not adapted to such domain-specific categories.