Research Article
A Bichannel Transformer with Context Encoding for Document-Driven Conversation Generation in Social Media
Table 2
Quantitative evaluation results of document relevance and response quality.
| Models | Doc_BLEU | NW | avg_len | PPL |
| SEQ [24]§ | 24.88 | 0.23 | 7.31 | 15.62 | SEQS [24]§ | 27.96 | 0.34 | 7.21 | 19.53 | D3G [26]§ | 26.76 | 0.39 | 6.83 | 18.40 | Transformer [25]¶ | 27.55 | 0.33 | 7.91 | 13.70 | Incremental transformer [44]† | — | — | — | 15.11 | Incremental transformer (our impl)‡ | 26.96 | 0.42 | 8.52 | 11.01 |
| BCTCE | 28.23 | 0.36 | 9.16 | 17.80 |
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The marks in this table are the same as those in Table 1. |