paper-with-me

Hyper-Relational Extraction 벤치마크

Hyper-Relational Extraction on HyperRED

4개 결과 · ⬇ CSV · JSON

Avg. F1

62.03 67.47 72.92 78.37 83.81 2022-11 2026-11 CubeRE — 65.04 (2022-11-18) Pipeline Baseline — 62.75 (2022-11-18) Generative Baseline — 62.03 (2022-11-18) Text2NKG — 83.81 (2023-10-08) CubeRE — 65.04 (2022-11-18) Text2NKG — 83.81 (2023-10-08)
RankModel Avg. F1 PaperCodeYear
1 Text2NKG 83.81 Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction lhrlab/text2nkg 2023
2 CubeRE 65.04 A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach declare-lab/hyperred 2022
3 Pipeline Baseline 62.75 A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach declare-lab/hyperred 2022
4 Generative Baseline 62.03 A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach declare-lab/hyperred 2022
1–4 / 4 페이지당 10 20 50 100