| SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features | ✓ Link | 0.76 | SVM with GloVe | 2018-06-01 |
| Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge | ✓ Link | 0.74 | SVM with ConceptNet, Wikipedia articles and WordNet synonyms | 2018-06-05 |
| BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes | | 0.73 | Gradient boosting with co-occurrence count features and JoBimText features | 2018-04-30 |
| UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions | | 0.72 | LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier | 2018-06-01 |
| Identifying and Explaining Discriminative Attributes | ✓ Link | 0.69 | Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome | 2019-09-05 |
| ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia | | 0.69 | Use of Wikipedia and ConceptNet Transp. (No expl.) | 2018-06-01 |