From: @chenmai1102
Reviewed-by: @guoqi1024,@oacjiewen
Signed-off-by: @guoqi1024

From: @penny369
Reviewed-by: @guoqi1024,@oacjiewen
Signed-off-by: @guoqi1024

From: @wilfchen
Reviewed-by: @limingqi107,@cristoval
Signed-off-by: @cristoval

From: @zymaa
Reviewed-by: 
Signed-off-by:

Signed-off-by: zymaa <317958662@qq.com>

TextRCNN, a model for text classification, which is proposed by the Chinese Academy of Sciences in 2015.
TextRCNN actually combines RNN and CNN, first uses bidirectional RNN to obtain upper semantic and grammatical information of the input text,
and then uses maximum pooling to automatically filter out the most important feature.

Signed-off-by: zymaa <317958662@qq.com>

From: @alex-yuyue
Reviewed-by: @nsyca,@mikef
Signed-off-by: @mikef

From: @yoonlee666
Reviewed-by: 
Signed-off-by:

From: @xinyunfan
Reviewed-by: 
Signed-off-by:

Signed-off-by: alex-yuyue <yue.yu1@huawei.com>

From: @sl_wang
Reviewed-by: @wang_zi_dong,@kisnwang
Signed-off-by: @wang_zi_dong

From: @yuzhenhua666
Reviewed-by: @c_34
Signed-off-by: @c_34

From: @bai-yangfan
Reviewed-by: @c_34,@guoqi1024
Signed-off-by: @c_34

From: @yuzhenhua666
Reviewed-by: @linqingke,@yingjy
Signed-off-by: @linqingke

From: @yoonlee666
Reviewed-by: @c_34,@guoqi1024
Signed-off-by: @c_34

From: @wanyiming
Reviewed-by: @kingxian,@zh_qh
Signed-off-by: @kingxian

From: @shibeiji
Reviewed-by: @c_34,@liangchenghui
Signed-off-by: @c_34

From: @shibeiji
Reviewed-by: 
Signed-off-by:

From: @yuzhenhua666
Reviewed-by: @liangchenghui
Signed-off-by:

From: @yuchaojie
Reviewed-by: @liangchenghui,@linqingke
Signed-off-by: @linqingke

From: @gaojing22
Reviewed-by: @yingjy,@guoqi1024
Signed-off-by: @yingjy