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SotA/Natural Language Processing/Relation Extraction/SemEval 2018 Task 10

Relation Extraction on SemEval 2018 Task 10

Metric: F1-Score (higher is better)

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#Model↕F1-Score▼Extra DataPaperDate↕Code
1SVM with GloVe0.76No--Code
2SVM with ConceptNet, Wikipedia articles and WordNet synonyms0.74NoLuminoso at SemEval-2018 Task 10: Distinguishing...2018-06-05Code
3Gradient boosting with co-occurrence count features and JoBimText features0.73NoBomJi at SemEval-2018 Task 10: Combining Vector-...2018-04-30-
4LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier0.72No---
5Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome0.69NoIdentifying and Explaining Discriminative Attrib...2019-09-05Code
6Use of Wikipedia and ConceptNet Transp. (No expl.)0.69No---