KPI-EDGAR

홈페이지 · 논문 2편

We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recognition and Relation Extraction building on financial reports uploaded to the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, where the main objective is to extract Key Performance Indicators (KPIs) from financial documents (the named entity recognition part) and link them to their numerical values (the relation extraction part). Challenges include the fuzzy borders of entities and finding the correct numeric value/year pair for each entity.

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