Entity Disambiguation On Aida Conll

评估指标

In-KB Accuracy

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
confidence-order95.0Global Entity Disambiguation with BERT
DCA-SL + Triples94.94Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
DeepType94.88DeepType: Multilingual Entity Linking by Neural Type System Evolution
NTEE94.7Learning Distributed Representations of Texts and Entities from Knowledge Base
DCA-SL (2019)(et al., [2019c])94.64Learning Dynamic Context Augmentation for Global Entity Linking
Fang et al. (2019) (et al., [2019e])94.3Joint Entity Linking with Deep Reinforcement Learning-
This work+CtxLSTMs+LDC+MPCM94.0Neural Cross-Lingual Entity Linking-
ReFinED93.9ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
Chen et al. (2020) (et al, 2020)93.54Improving Entity Linking by Modeling Latent Entity Type Information-
GENRE93.3Autoregressive Entity Retrieval
Wikipedia2Vec-GBRT93.1Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
ELDEN93.0ELDEN: Improved Entity Linking Using Densified Knowledge Graphs-
NER4EL92.5Named Entity Recognition for Entity Linking: What Works and What’s Next-
Global92.22Deep Joint Entity Disambiguation with Local Neural Attention
Wikipedia2Vec91.5Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
KBED90.4Improving Entity Disambiguation by Reasoning over a Knowledge Base
Le& Titov (2019) (Le and Titov, 2019)89.66Boosting Entity Linking Performance by Leveraging Unlabeled Documents
Hoffart et al.82.29Robust Disambiguation of Named Entities in Text-
BERT-Entity-Sim (local & global) AIDA-B-Improving Entity Linking by Modeling Latent Entity Type Information-
Bootleg-Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
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Entity Disambiguation On Aida Conll | SOTA | HyperAI超神经