# Multi-Task Topic Analysis Framework for Hallmarks of Cancer with Weak Supervision
## 5 Experimental Result and Discussion
### Cancer Hallmark Classification Result
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \multicolumn{2}{c}{**Model**} & **SPS** & **EGS** & **RCD** & **ERI** & **IA** & **AIM** & **GIM** & **TPI** & **DCE** & **AID** \\ \hline \multirow{2}{*}{CNN} & Base & 81.99 & **92.31** & **95.08** & 98.13 & 96.68 & 94.06 & 91.68 & 94.96 & 98.64 & 96.92 \\  & Tuned & 82.46 & 91.56 & 94.61 & **98.21** & **96.76** & 94.76 & **92.15** & 95.11 & 98.91 & 96.84 \\ \hline \multirow{2}{*}{RCNN} & Base & 82.15 & 91.92 & 93.94 & 98.13 & 95.97 & 94.96 & 91.29 & **95.31** & **99.10** & 97.27 \\  & Tuned & 82.46 & 91.37 & 94.06 & 98.09 & 96.36 & **95.00** & 91.17 & 95.27 & 98.87 & **97.35** \\ \hline \multirow{2}{*}{GRU} & Base & 81.98 & 89.70 & 90.55 & 97.99 & 96.02 & 93.32 & 89.67 & 93.46 & 97.86 & 96.70 \\  & Tuned & 82.99 & 89.64 & 91.68 & 97.83 & 95.93 & 93.13 & 90.25 & 93.57 & 98.52 & 96.62 \\ \hline \multirow{2}{*}{BiGRU} & Base & 78.98 & 82.55 & 78.71 & 97.11 & 95.25 & 91.37 & 88.49 & 88.27 & 97.77 & 94.62 \\  & Tuned & 79.51 & 82.61 & 78.60 & 96.84 & 95.44 & 90.82 & 89.18 & 87.17 & 97.69 & 93.98 \\ \hline \multirow{2}{*}{LSTM} & Base & 82.97 & 87.94 & 88.19 & 96.95 & 95.58 & 92.61 & 89.48 & 91.13 & 98.05 & 95.88 \\  & Tuned & **83.13** & 87.80 & 88.60 & 96.92 & 95.85 & 91.54 & 89.78 & 91.68 & 97.97 & 96.13 \\ \hline \multirow{2}{*}{BiLSTM} & Base & 76.24 & 82.52 & 71.57 & 94.34 & 92.78 & 84.78 & 85.11 & 84.97 & 96.32 & 92.17 \\  & Tuned & 75.63 & 80.19 & 70.96 & 94.10 & 93.00 & 85.60 & 84.95 & 83.88 & 96.43 & 92.64 \\ \hline \end{tabular}
\end{table} 
Table 6: Supervised algorithms on the labeled dataset (micro F1-score). \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \multicolumn{2}{c}{**Model**} & **SPS** & **EGS** & **RCD** & **ERI** & **IA** & **AIM** & **GIM** & **TPI** & **DCE** & **AID** \\ \hline \multirow{2}{*}{[PERSON] et al. [20]} & Best & 70.00 & 71.50 & 86.90 & 91.50 & 85.70 & 82.60 & 81.70 & 84.20 & 88.30 & 75.80 \\ \hline \multirow{2}{*}{CNN} & Base & 73.49 & **82.22** & **92.93** & 92.98 & 88.60 & 88.45 & 86.93 & 87.43 & 94.36 & 84.42 \\  & Tuned & 74.66 & 80.15 & 92.12 & **93.18** & **89.10** & **90.15** & **87.62** & 87.93 & 95.83 & 84.31 \\ \hline \multirow{2}{*}{RCNN} & Base & 74.38 & 81.67 & 91.10 & 92.95 & 86.46 & 89.82 & 85.96 & **88.92** & **96.62** & **88.61** \\  & Tuned & 75.13 & 79.77 & 91.32 & 92.82 & 87.41 & 89.57 & 86.05 & 88.70 & 95.52 & 88.55 \\ \hline \multirow{2}{*}{GRU} & Base & 74.76 & 79.14 & 85.95 & 91.44 & 88.12 & 87.78 & 82.30 & 86.48 & 90.48 & 83.74 \\  & Tuned & **76.65** & 74.03 & 87.86 & 90.57 & 88.28 & 87.38 & 83.31 & 86.78 & 93.52 & 81.31 \\ \hline \multirow{2}{*}{BiGRU} & Base & 70.99 & 57.45 & 69.85 & 87.86 & 85.46 & 83.58 & 80.46 & 72.99 & 89.09 & 74.01 \\  & Tuned & 71.16 & 58.73 & 70.61 & 85.87 & 85.39 & 82.69 & 81.05 & 71.03 & 90.40 & 70.37 \\ \hline \multirow{2}{*}{LSTM} & Base & 76.47 & 72.42 & 82.94 & 86.32 & 86.48 & 86.30 & 82.22 & 82.08 & 91.05 & 78.83 \\  & Tuned & 76.62 & 69.62 & 82.84 & 87.22 & 87.10 & 84.84 & 82.60 & 82.26 & 90.43 & 78.88 \\ \hline \multirow{2}{*}{BiLSTM} & Base & 66.23 & 57.15 & 58.29 & 74.86 & 72.53 & 68.82 & 73.99 & 65.20 & 81.57 & 60.82 \\  & Tuned & 65.33 & 56.75 & 56.36 & 73.44 & 72.61 & 69.73 & 73.00 & 64.00 & 80.90 & 62.40 \\ \hline \end{tabular}
\end{table} 
Table 5: Supervised algorithms on the labeled dataset (macro F1-score).