HyperAI超神経
ホームニュース最新論文チュートリアルデータセット百科事典SOTALLMモデルGPU ランキング学会
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HyperAI超神経

Entity Linking On Aida Conll

評価指標

Micro-F1 strong

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Micro-F1 strong
Paper TitleRepository
ReLiK-Large86.4ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Kolitsas et al. (2018)82.4End-to-End Neural Entity Linking
Kannan Ravi et al. (2021)83.1CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
Peters et al. (2019)73.7Knowledge Enhanced Contextual Word Representations
Zhang et al. (2021)85.8EntQA: Entity Linking as Question Answering
Hoffart et al. (2011)72.8Robust Disambiguation of Named Entities in Text-
SpEL-base (2023)88.1SpEL: Structured Prediction for Entity Linking
Broscheit (2019)79.3Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking
FusionED86.5Entity Disambiguation via Fusion Entity Decoding-
Martins et al. (2019)81.9Joint Learning of Named Entity Recognition and Entity Linking-
De Cao et al. (2021a)83.7Autoregressive Entity Retrieval
ReFinED84.0ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
De Cao et al. (2021b)85.5Highly Parallel Autoregressive Entity Linking with Discriminative Correction
ReLiK-Base85.3ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Févry et al. (2020b)76.7Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking-
van Hulst et al. (2020)80.5REL: An Entity Linker Standing on the Shoulders of Giants
SpEL-large (2023)88.6SpEL: Structured Prediction for Entity Linking
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