Fig updates

analysis_and_scripts/notes.tex

@@ -149,22 +149,22 @@ Given the above framework, the goal is to create an evaluation algorithm that ca
 
 \begin{figure} [H]
 \centering
-\begin{tikzpicture}[->,>=stealth',shorten >=1pt,auto,node distance=1.5cm,
-                    semithick]
+\begin{tikzpicture}[->, >=stealth, shorten >=1pt, auto, node distance=1.5cm, semithick]
 
-  \tikzstyle{every state}=[fill=none,draw=black,text=black, rectangle, minimum width=7.0cm]
+  \tikzstyle{every state}=[fill=none, draw=black, text=black, rectangle, minimum width=6.0cm]
 
-  \node[state] (D) {Data generation};
-  \node[state] (J) [below of=D] {Labeling process (human)};
-  \node[state] (MP) [below of=J] {$\mathcal{M}$ Machine decisions / predictions};
+  \node[state] (DG) {Data generation};
+  \node[state] (LP) [below of=DG] {Labeling process (human)};
+  \node[state] (MP) [below of=LP] {Machine predictions};
   \node[state] (EA)  [below of=MP] {Evaluation algorithm};
 
-  \path (D) edge (J)
-        (J) edge (MP)
-             edge [bend right=82, dashed] (EA)
+  \path (DG) edge (LP)
+                    edge [bend right=90, dashed] node [left] {(1)} (MP)
+        (LP) edge (MP)
+             edge [bend left=90, dashed] node {(2)} (EA)
         (MP) edge (EA);
 \end{tikzpicture}
-\caption{The selective labels framework. The dashed arrow indicates how human evaluations are evaluated without machine intervention using \nameref{alg:human_eval} algorithm.}
+\caption{The selective labels framework. Dashed arrow (1) marks the flow of unlabeled data to \nameref{alg:true_eval} algorithm and (2) indicates how human evaluations are evaluated without machine intervention using \nameref{alg:human_eval} algorithm.}
 \label{fig:framework}
 \end{figure}
 
@@ -173,22 +173,23 @@ Given the above framework, the goal is to create an evaluation algorithm that ca
 \begin{tikzpicture}[->,>=stealth',shorten >=1pt,auto,node distance=1.5cm,
                             semithick]
         
-          \tikzstyle{every state}=[fill=none,draw=black,text=black, rectangle, minimum width=7.0cm]
+          \tikzstyle{every state}=[fill=none,draw=black,text=black, rectangle, minimum width=6.0cm]
         
           \node[state] (DG) {Data generation};
           \node[state] (LP) [below of = DG] {Labeling process (human)};
           \node[state] (MT) [below left=1.0cm and -4cm of LP] {Model training};
-          \node[state] (MD) [below=1.0cm of MT] {$\mathcal{M}$ Machine decisions / predictions};
-          \node[state] (EA)  [below right=0.75cm and -4cm of MD] {Evaluation algorithm};
+          \node[state] (MP) [below=1.0cm of MT] {Machine predictions};
+          \node[state] (EA)  [below right=0.75cm and -4cm of MP] {Evaluation algorithm};
         
           \path (DG) edge (LP)
-                (LP) edge [bend left=-19] node [right, pos=0.6] {$\D_{train}$} (MT)
-                      edge [bend left=45] node [right]  {$\D_{test}$} (MD)
-                     edge [bend left=70, dashed] node [right]  {$\D_{test}$}  (EA)
-                (MT) edge node {$\M$} (MD)
-                (MD) edge (EA);
+                            edge [out=180, in=180, dashed] node [left]  {$\D_{unlabeled}$ (1)}   (MP)
+                (LP) edge [bend right=19] node [left] {$\D_{train}$} (MT)
+                      edge [bend left=60] node [right]  {$\D_{test}$} (MP)
+                     edge [bend left=75, dashed] node [right]  {$\D_{test}$ (2)}  (EA)
+                (MT) edge node {$\M$} (MP)
+                (MP) edge (EA);
         \end{tikzpicture}
-\caption{The selective labels framework with explicit data flow. The dashed arrow indicates how human evaluations are evaluated without machine intervention using \nameref{alg:human_eval} algorithm. The evaluations are performed over the test set.}
+\caption{The selective labels framework with explicit data flow. Dashed arrow (1) marks the flow of unlabeled data to \nameref{alg:true_eval} algorithm and (2) indicates how human evaluations are evaluated without machine intervention using \nameref{alg:human_eval} algorithm.}
 \label{fig:framework_data_flow}
 \end{figure}