Discriminative Attribute Identification on Semeval Task 10 2018
76F1 ScoreLai et al., 2018
Evaluation Results
| Method | Links | |
|---|---|---|
| Lai et al., 2018Approach=SVM with GloVe, Explainability=None2019.09 | 76 | |
| Speer and Lowry-Duda, 2018Approach=SVM with ConceptNet, Wikipedia articles and WordNet synonyms, Explainability=None2019.09 | 74 | |
| Shiue et al., 2018Approach=MLP combining information from various DSMs, PMI, and ConceptNet, Explainability=None2019.09 | 73 | |
| Santus et al., 2018Approach=Gradient boosting with co-occurrence count features and JoBimText features, Explainability=None2019.09 | 73 | |
| Brychcín et al., 2018Approach=LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier, Explainability=None2019.09 | 72 | |
| EDAMApproach=Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome, Explainability=Fully Explainable2019.09 | 69 | |
| Sommerauer et al., 2018Approach=Word2Vec cosine similarities of WordNet glosses, Explainability=Transp. (No expl.)2019.09 | 69 | |
| González et al., 2018Approach=Use of Wikipedia and ConceptNet, Explainability=Transp. (No expl.)2019.09 | 69 | |
| Attia et al., 2018Approach=Google 5 grams and Word2Vec embeddings as features for feedforward neural network, Explainability=None2019.09 | 67 | |
| Zhou et al., 2018Approach=Ensemble ML model with WordNet, PMI scores, Word2Vec, and GloVe embeddings, Explainability=None2019.09 | 67 | |
| Kulmizev et al., 2018Approach=A combination of GloVe and Paragram embeddings, Explainability=None2019.09 | 67 | |
| Zhang and Carpuat, 2018Approach=SVM with GloVe embeddings, Explainability=None2019.09 | 67 | |
| Vinayan et al., 2018Approach=CNN with GloVe embeddings, Explainability=None2019.09 | 66 | |
| Grishin, 2018Approach=Similarity calculations using a combination of DSMS, Explainability=None2019.09 | 65 | |
| Wu et al., 2018Approach=Word2Vec, GloVe, and FastText embeddings as features for MLP-CNN, Explainability=None2019.09 | 63 | |
| Gamallo, 2018Approach=Dependency parsing and co-occurrence analysis, Explainability=Transp. (No expl.)2019.09 | 63 | |
| Dumitru et al., 2018Approach=SVM with word co-occurrence, Explainability=None2019.09 | 63 | |
| Mao et al., 2018Approach=CBOW and skip-gram with WordNet definitions, Explainability=Transp. (No expl.)2019.09 | 62 | |
| King et al., 2018Approach=Word2Vec, WordNet, and co-occurrence scores, Explainability=Transp. (No expl.)2019.09 | 61 | |
| Arroyo-Fernández et al., 2018Approach=Convex Cone Method applied to GloVe embeddings, Explainability=None2019.09 | 60 |