MHERCL, a gold-standard dataset of 875 sentences from 19th-century music periodicals, shows that type and time filtering plus NIL-aware heuristics improve entity linking over off-the-shelf models and LLMs.
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Musical Heritage Historical Entity Linking
MHERCL, a gold-standard dataset of 875 sentences from 19th-century music periodicals, shows that type and time filtering plus NIL-aware heuristics improve entity linking over off-the-shelf models and LLMs.