wording (sec 15)

Chapter15/Figures/figure-convolutional-attention-network.tex

@@ -30,7 +30,7 @@
 \draw [-,very thick,dotted,red!60] ([xshift=0em,yshift=0em]n2.south east) -- ([xshift=0em,yshift=0em]n4.south west);
 \draw [-,very thick,dotted,red!60] ([xshift=0em,yshift=0em]n2.north east) -- ([xshift=0em,yshift=0em]n4.north west);
 
-\node [anchor=north] (l1) at ([xshift=0.5em,yshift=-1em]a70.south){\footnotesize {(a)原始SAN}};
+\node [anchor=north] (l1) at ([xshift=0.5em,yshift=-1em]a70.south){\footnotesize {(a)标准自注意力模型}};
 \node [anchor=south,rotate=90] (l2) at ([xshift=0em,yshift=0em]a02.west){\scriptsize {注意力头}};
 \node [anchor=south] (l2) at ([xshift=0em,yshift=0em]a44.north){\scriptsize {句子长度}};
 
@@ -64,7 +64,7 @@
 \draw [-,very thick,dotted,red!60] ([xshift=0em,yshift=0em]n2.south east) -- ([xshift=0em,yshift=0em]n4.south west);
 \draw [-,very thick,dotted,red!60] ([xshift=0em,yshift=0em]n2.north east) -- ([xshift=0em,yshift=0em]n4.north west);
 
-\node [anchor=north] (l1) at ([xshift=0.5em,yshift=-1em]a70.south){\footnotesize {(b)一维卷积SAN}};
+\node [anchor=north] (l1) at ([xshift=0.5em,yshift=-1em]a70.south){\footnotesize {(b)一维卷积注意力模型}};
 \node [anchor=south,rotate=90] (l2) at ([xshift=0em,yshift=0em]a02.west){\scriptsize {注意力头}};
 \node [anchor=south] (l2) at ([xshift=0em,yshift=0em]a44.north){\scriptsize {句子长度}};
 
@@ -98,7 +98,7 @@
 \draw [-,very thick,dotted,red!60] ([xshift=0em,yshift=0em]n2.south east) -- ([xshift=0em,yshift=0em]n4.south west);
 \draw [-,very thick,dotted,red!60] ([xshift=0em,yshift=0em]n2.north east) -- ([xshift=0em,yshift=0em]n4.north west);
 
-\node [anchor=north] (l1) at ([xshift=0.5em,yshift=-1em]a70.south){\footnotesize {(c)二维卷积SAN}};
+\node [anchor=north] (l1) at ([xshift=0.5em,yshift=-1em]a70.south){\footnotesize {(c)二维卷积注意力模型}};
 \node [anchor=south,rotate=90] (l2) at ([xshift=0em,yshift=0em]a02.west){\scriptsize {注意力头}};
 \node [anchor=south] (l2) at ([xshift=0em,yshift=0em]a44.north){\scriptsize {句子长度}};