PerAnSel:  A  Novel Deep Neural Network-Based System for Persian Question Answering

Table 2

A summary of answer selection models for various languages. In this table, PP refers to preprocessing, LR refers to low resource, MR refers to morphologically rich, FWO refers to free word order, and RTL refers to right to left.

No.	Paper	Year	Architecture	Language	Network	PP	LR	MR	FWO	RTL
1	Wan et al. [27]	2006	Feature Engineering	English	Tree	✓	χ	χ	χ	χ
2	Punyakanok et al. [29]	2004	Feature Engineering	English	Tree	✓	χ	χ	χ	χ
3	Heliman and Smith [30]	2010	Feature Engineering	English	Tree	χ	χ	χ	χ	χ
4	Yu et al. [32]	2014	Siamese	English	CNN	χ	χ	χ	χ	χ
5	He et al. [33]	2015	Siamese	English	CNN	χ	χ	χ	χ	χ
6	Rao et al. [34]	2016	Siamese	English	CNN	χ	χ	χ	χ	χ
7	Kamath et al. [35]	2019	Siamese	English	RNN	✓
8	Yang et al. [36]	2016	Attention	English	CNN	χ	χ	χ	χ	χ
9	He et al. [37]	2016	Attention	English	CNN	χ	χ	χ	χ	χ
10	Mozafari et al. [38]	2019	Attention	English	CNN	✓
11	He and Lin [40]	2016	Compare-Aggregate	English	CNN, RNN	χ	χ	χ	χ	χ
12	Wang et al. [41]	2017	Compare-Aggregate	English	RNN	χ	χ	χ	χ	χ
13	Yoon et al. [42]	2019	Language Model	English	Elmo	χ	χ	χ	χ	χ
14	Mozafari et al. [44]	2019	Language Model	English	Bert, RNN	✓
15	Laskar et al. [45]	2020	Language Model	English	Bert, RobertA	χ	χ	χ	χ	χ
16	Mozafari et al. [47]	2020	Language Model	English	DistilBERT	✓
17	Shonibare [49]	2021	Language Model	English	Bert, RobertA	χ	χ	χ	χ	χ
18	Han et al. [50]	2021	Language Model	English	RobertA	χ	χ	χ	χ	χ
19	Shen et al. [51]	2018	Other	English	CNN, RNN	✓	χ	χ	χ	χ
20	Jin et al. [52]	2020	Others	English	CNN, RNN	χ	χ	χ	χ	χ
21	Zhang et al. [54]	2018	Attention	Chinese	CNN, RNN	✓	✓	✓	✓
22	Zhang et al. [61]	2019	Siamese	Chinese	CNN, RNN	✓	✓	✓	✓
23	Chen et al. [55]	2021	Attention	Chinese	CNN	✓	✓	✓	✓	χ
24	Almiman et al. [62]	2020	Language Model	Arabic	Bert	✓	✓	✓	χ	✓
25	PerAnSel	2022	Language Model	Persian	Bert, CNN, RNN	✓	✓	✓	✓	✓