Entity Linking On Aida Conll

Metrics

Micro-F1 strong

Results

Performance results of various models on this benchmark

		Paper Title
SpEL-large (2023)	88.6	SpEL: Structured Prediction for Entity Linking
SpEL-base (2023)	88.1	SpEL: Structured Prediction for Entity Linking
FusionED	86.5	Entity Disambiguation via Fusion Entity Decoding
ReLiK-Large	86.4	ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Zhang et al. (2021)	85.8	EntQA: Entity Linking as Question Answering
De Cao et al. (2021b)	85.5	Highly Parallel Autoregressive Entity Linking with Discriminative Correction
ReLiK-Base	85.3	ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
ReFinED	84.0	ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
De Cao et al. (2021a)	83.7	Autoregressive Entity Retrieval
Kannan Ravi et al. (2021)	83.1	CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
Kolitsas et al. (2018)	82.4	End-to-End Neural Entity Linking
Martins et al. (2019)	81.9	Joint Learning of Named Entity Recognition and Entity Linking
van Hulst et al. (2020)	80.5	REL: An Entity Linker Standing on the Shoulders of Giants
Broscheit (2019)	79.3	Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking
Févry et al. (2020b)	76.7	Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
Peters et al. (2019)	73.7	Knowledge Enhanced Contextual Word Representations
Hoffart et al. (2011)	72.8	Robust Disambiguation of Named Entities in Text

0 of 17 row(s) selected.

Entity Linking On Aida Conll | SOTA | HyperAI