Relation Classification on Chinese literature text
65.9F1 ScoreSR-BRCNN
Evaluation results
| Method | Links | |
|---|---|---|
| SR-BRCNNFeatures=Word embeddings + POS, NER, WordNet2018.03 | 65.9 | |
| SR-BRCNNFeatures=Word embeddings2018.03 | 65.2 | |
| BRCNNFeatures=Word embeddings + POS, NER, WordNet2018.03 | 55.6 | |
| SDP-LSTMFeatures=Word embeddings + POS + NER + WordNet2018.03 | 55.3 | |
| DepNNFeatures=Word embeddings, WordNet2018.03 | 55.2 | |
| BRCNNFeatures=Word embeddings2018.03 | 55 | |
| SDP-LSTMFeatures=Word embeddings2018.03 | 54.9 | |
| CR-CNNFeatures=Word embeddings + word position embeddings2018.03 | 54.1 | |
| CR-CNNFeatures=Word embeddings2018.03 | 52.7 | |
| CNNFeatures=Word embeddings + word position embeddings, NER, WordNet2018.03 | 52.4 | |
| RNNFeatures=Word embeddings + POS, NER, WordNet2018.03 | 49.1 | |
| SVMFeatures=Word embeddings, NER, WordNet, HowNet, POS, dependency parse, Google n-gram2018.03 | 48.9 | |
| RNNFeatures=Word embeddings2018.03 | 48.3 | |
| CNNFeatures=Word embeddings2018.03 | 47.6 |