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HyperAI超神经

Relation Extraction On Semeval 2018 Task 10

评估指标

F1-Score

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
SVM with GloVe	0.76	SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features	-
SVM with ConceptNet, Wikipedia articles and WordNet synonyms	0.74	Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge
Gradient boosting with co-occurrence count features and JoBimText features	0.73	BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes	-
LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier	0.72	UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions	-
Use of Wikipedia and ConceptNet Transp. (No expl.)	0.69	ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia	-
Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome	0.69	Identifying and Explaining Discriminative Attributes

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Relation Extraction On Semeval 2018 Task 10 | SOTA | HyperAI超神经