Table 6.
Cluster evaluation on CCTC dataset.
| Methods | ACC | NMI | ARI |
|---|---|---|---|
| CCTC dataset | |||
| TFIDF+k-means | 0.127 | 0.432 | 0.230 |
| Word2Vec+k-means | 0.242 | 0.283 | 0.181 |
| ELMO+k-means | 0.196 | 0.365 | 0.258 |
| DEC | 0.275 | 0.167 | 0.071 |
| TFIDF+DEC | 0.501 | 0.389 | 0.271 |
| Word2Vec+DEC | 0.465 | 0.353 | 0.244 |
| BERT+DEC | 0.526 | 0.486 | 0.439 |
| TCBPMA | 0.518 | 0.426 | 0.374 |
The bold value indicates that the Acc value is the highest.