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Attribute Value Extraction 벤치마크

Attribute Value Extraction on MAVE

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F1-score

79.73 84.38 89.03 93.67 98.32 2021-12 2026-11 MAVEQA — 98.32 (2021-12-16) AVEQA — 98.14 (2021-12-16) AD-Opentag — 79.73 (2021-12-16) MAVEQA — 98.32 (2021-12-16) AVEQA — 98.14 (2021-12-16) AD-Opentag — 79.73 (2021-12-16) MAVEQA — 98.32 (2021-12-16)
RankModel F1-score PaperCodeYear
1 MAVEQA 98.32 MAVE: A Product Dataset for Multi-source Attribute Value Extraction google-research-datasets/mave 2021
2 AVEQA 98.14 MAVE: A Product Dataset for Multi-source Attribute Value Extraction google-research-datasets/mave 2021
3 AD-Opentag 79.73 MAVE: A Product Dataset for Multi-source Attribute Value Extraction google-research-datasets/mave 2021
4 MAVEQA 98.32 MAVE: A Product Dataset for Multi-source Attribute Value Extraction google-research-datasets/mave 2021
5 AVEQA 98.14 MAVE: A Product Dataset for Multi-source Attribute Value Extraction google-research-datasets/mave 2021
6 AD-Opentag 79.73 MAVE: A Product Dataset for Multi-source Attribute Value Extraction google-research-datasets/mave 2021
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