IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching

Table 6

Different performance measures on the test set.

	Model	F1 (%)	Recall (%)	Top-2 (%)	Top-3 (%)
1	BM25	49.02	53.27	49.62	52.73
2	Multiscale CNN	62.15	59.83	67.85	69.53
3	Attentive pooling	73.18	73.86	75.97	78.21
4	DMN	74.74	75.12	77.42	80.93
5	ESIM + ELMo	77.54	78.26	79.27	80.31
6	Multiview	76.09	76.83	78.14	79.83
7	CapsNet	78.17	78.82	80.61	83.53
8	SCDE-Bi-LSTM	79.83	80.52	82.13	84.73