Relation Extraction on SemEval 2018 Task 10

Metric: F1-Score (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	F1-Score▼	Extra Data	Paper	Date↕	Code
1	SVM with GloVe	0.76	No	-	-	Code
2	SVM with ConceptNet, Wikipedia articles and WordNet synonyms	0.74	No	Luminoso at SemEval-2018 Task 10: Distinguishing...	2018-06-05	Code
3	Gradient boosting with co-occurrence count features and JoBimText features	0.73	No	BomJi at SemEval-2018 Task 10: Combining Vector-...	2018-04-30	-
4	LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier	0.72	No	-	-	-
5	Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome	0.69	No	Identifying and Explaining Discriminative Attrib...	2019-09-05	Code
6	Use of Wikipedia and ConceptNet Transp. (No expl.)	0.69	No	-	-	-

#1SVM with GloVe
0.76
F1-Score
No paperCode
#2SVM with ConceptNet, Wikipedia articles and WordNet synonymsSOTA
0.74
F1-Score· 2018-06-05
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge Code
#3Gradient boosting with co-occurrence count features and JoBimText featuresSOTA
0.73
F1-Score· 2018-04-30
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
#4LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier
0.72
F1-Score
No paper
#5Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome
0.69
F1-Score· 2019-09-05
Identifying and Explaining Discriminative Attributes Code
#6Use of Wikipedia and ConceptNet Transp. (No expl.)
0.69
F1-Score
No paper