premise string | hypothesis string | label int64 |
|---|---|---|
| | ROCI | ROCII | ROCIII | Mean |
| --- | --- | --- | --- | --- |
| LBP | 18.62 | 19.12 | 20.07 | 19.27 |
| LTP | 20.21 | 21.39 | 22.99 | 21.53 |
| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |
| POEM | 29.99 | 30.60 | 31.46 | 30.68 |
| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |
| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 | | | MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |
| --- | --- | --- | --- | --- |
| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |
| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |
| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |
| DCP | 21.78 | 22.49 | 23.59 | 22.62 | | 1 |
| | ROCI | ROCII | ROCIII | Mean |
| --- | --- | --- | --- | --- |
| LBP | 18.62 | 19.12 | 20.07 | 19.27 |
| LTP | 20.21 | 21.39 | 22.99 | 21.53 |
| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |
| POEM | 29.99 | 30.60 | 31.46 | 30.68 |
| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |
| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 | | | | ROCI | ROCII | ROCIII | Mean |
| --- | --- | --- | --- | --- |
| LBP | 89.93 | 87.53 | 84.83 | 87.43 |
| LTP | 90.98 | 88.63 | 86.07 | 88.56 |
| LPQ | 89.96 | 87.38 | 84.48 | 87.27 |
| POEM | 90.60 | 88.26 | 85.63 | 88.16 |
| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |
| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |
| MsTLBP | 93.24 | 91.16 | 88.83 | 91.08 |
| MsDLBP | 87.65 | 84.93 | 81.96 | 84.85 |
| DCP-1 | 91.40 | 89.14 | 86.65 | 89.06 |
| DCP-2 | 92.96 | 90.78 | 88.42 | 90.72 |
| DCP | 93.22 | 91.21 | 88.93 | 91.12 | | 0 |
| | ROCI | ROCII | ROCIII | Mean |
| --- | --- | --- | --- | --- |
| LBP | 18.62 | 19.12 | 20.07 | 19.27 |
| LTP | 20.21 | 21.39 | 22.99 | 21.53 |
| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |
| POEM | 29.99 | 30.60 | 31.46 | 30.68 | | | LGXP | 32.44 | 31.81 | 31.13 | 31.79 |
| --- | --- | --- | --- | --- |
| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |
| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |
| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |
| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |
| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |
| DCP | 21.78 | 22.49 | 23.59 | 22.62 | | 1 |
| | ROCI | ROCII | ROCIII | Mean |
| --- | --- | --- | --- | --- |
| LBP | 18.62 | 19.12 | 20.07 | 19.27 |
| LTP | 20.21 | 21.39 | 22.99 | 21.53 |
| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |
| POEM | 29.99 | 30.60 | 31.46 | 30.68 | | | LGXP | 91.89 | 88.80 | 85.33 | 88.67 |
| --- | --- | --- | --- | --- |
| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |
| MsTLBP | 93.24 | 91.16 | 88.83 | 91.08 |
| MsDLBP | 87.65 | 84.93 | 81.96 | 84.85 |
| DCP-1 | 91.40 | 89.14 | 86.65 | 89.06 |
| DCP-2 | 92.96 | 90.78 | 88.42 | 90.72 |
| DCP | 93.22 | 91.21 | 88.93 | 91.12 | | 0 |
| | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |
| --- | --- | --- | --- | --- | --- | --- |
| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |
| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |
| Effusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 | | | Infiltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |
| --- | --- | --- | --- | --- | --- | --- |
| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |
| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |
| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |
| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 |
| Consolidation | 0.7078 | 0.788 | 0.7939 | 0.7606 | 0.7324 | 0.7838 |
| Edema | 0.8345 | 0.882 | 0.8932 | 0.8669 | 0.8563 | 0.8880 |
| Emphysema | 0.8149 | 0.829 | 0.926 | 0.8474 | 0.8993 | 0.8982 |
| Fibrosis | 0.7688 | 0.767 | 0.8044 | 0.7236 | 0.7171 | 0.7559 |
| PT | 0.7082 | 0.765 | 0.8138 | 0.7405 | 0.7388 | 0.7739 |
| Hernia | 0.7667 | 0.914 | 0.9387 | 0.7122 | 0.898 | 0.8024 | | 1 |
| | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |
| --- | --- | --- | --- | --- | --- | --- |
| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |
| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |
| Effusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 | | | T(IoU) | Atelectasis | Cardiomegaly | Effusion | Infiltration | Mass | Nodule |
| --- | --- | --- | --- | --- | --- | --- |
| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |
| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |
| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |
| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |
| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |
| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |
| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |
| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |
| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |
| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |
| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |
| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |
| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |
| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 | | 0 |
| | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |
| --- | --- | --- | --- | --- | --- | --- |
| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |
| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |
| Effusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |
| Infiltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |
| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |
| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |
| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |
| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 | | | Consolidation | 0.7078 | 0.788 | 0.7939 | 0.7606 | 0.7324 | 0.7838 |
| --- | --- | --- | --- | --- | --- | --- |
| Edema | 0.8345 | 0.882 | 0.8932 | 0.8669 | 0.8563 | 0.8880 |
| Emphysema | 0.8149 | 0.829 | 0.926 | 0.8474 | 0.8993 | 0.8982 |
| Fibrosis | 0.7688 | 0.767 | 0.8044 | 0.7236 | 0.7171 | 0.7559 |
| PT | 0.7082 | 0.765 | 0.8138 | 0.7405 | 0.7388 | 0.7739 |
| Hernia | 0.7667 | 0.914 | 0.9387 | 0.7122 | 0.898 | 0.8024 | | 1 |
| | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |
| --- | --- | --- | --- | --- | --- | --- |
| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |
| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |
| Effusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |
| Infiltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |
| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |
| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |
| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |
| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 | | | AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |
| --- | --- | --- | --- | --- | --- | --- |
| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |
| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |
| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |
| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |
| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |
| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |
| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |
| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |
| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |
| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 | | 0 |
| S.No. | Description |
| --- | --- |
| Q1 | MyPLTLgroupwasfriendlytoday |
| Q2 | MyPLTLgroupwasengagingtoday |
| Q3 | MyPLTLgroupwashelpfultoday |
| Q4 | MyPLTLgroupwasmotivatedtoday | | | Q5 | Ilearnedalotintoday’sPLTLsession |
| --- | --- |
| Q6 | IfeltcomfortablewiththeinteractionwithmyPLTLgrouptoday |
| Q7 | Myparticipationintoday’sPLTLsessionincreasedmyconfidenceinthecourse |
| Q8 | Overall,thePLTLsessionsarehelpingmedobetterinmycourse | | 1 |
| S.No. | Description |
| --- | --- |
| Q1 | MyPLTLgroupwasfriendlytoday |
| Q2 | MyPLTLgroupwasengagingtoday |
| Q3 | MyPLTLgroupwashelpfultoday |
| Q4 | MyPLTLgroupwasmotivatedtoday | | | # | Question |
| --- | --- |
| Q1 | Whichartworksdoyouprefer? |
| Q2 | Whatisyourpreferenceontheartworks? |
| Q3 | Whatdidyoubecomeawareofonyourpreference? |
| Q4 | Whatdidyoubecomeawareofonyourpreference? |
| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |
| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |
| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |
| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? | | 0 |
| S.No. | Description |
| --- | --- |
| Q1 | MyPLTLgroupwasfriendlytoday |
| Q2 | MyPLTLgroupwasengagingtoday |
| Q3 | MyPLTLgroupwashelpfultoday |
| Q4 | MyPLTLgroupwasmotivatedtoday |
| Q5 | Ilearnedalotintoday’sPLTLsession |
| Q6 | IfeltcomfortablewiththeinteractionwithmyPLTLgrouptoday | | | Q7 | Myparticipationintoday’sPLTLsessionincreasedmyconfidenceinthecourse |
| --- | --- |
| Q8 | Overall,thePLTLsessionsarehelpingmedobetterinmycourse | | 1 |
| S.No. | Description |
| --- | --- |
| Q1 | MyPLTLgroupwasfriendlytoday |
| Q2 | MyPLTLgroupwasengagingtoday |
| Q3 | MyPLTLgroupwashelpfultoday |
| Q4 | MyPLTLgroupwasmotivatedtoday |
| Q5 | Ilearnedalotintoday’sPLTLsession |
| Q6 | IfeltcomfortablewiththeinteractionwithmyPLTLgrouptoday | | | Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |
| --- | --- |
| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |
| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? | | 0 |
| Viewpoint | F | R | S | FS | RS |
| --- | --- | --- | --- | --- | --- |
| | meandifference | | | | |
| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 | | | | classificationaccuracy | | | | |
| --- | --- | --- | --- | --- | --- |
| Doornumber<br>Seatnumber<br>Cartype | 0.674<br>0.672<br>0.541 | 0.748<br>0.691<br>0.585 | 0.837<br>0.711<br>0.627 | 0.738<br>0.660<br>0.571 | 0.788<br>0.700<br>0.612 | | 1 |
| Viewpoint | F | R | S | FS | RS |
| --- | --- | --- | --- | --- | --- |
| | meandifference | | | | |
| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 | | | #Params | RVD | |
| --- | --- | --- |
| @1 | @10 | |
| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Viewpoint | F | R | S | FS | RS |
| --- | --- | --- | --- | --- | --- |
| | meandifference | | | | |
| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 | | | | classificationaccuracy | | | | |
| --- | --- | --- | --- | --- | --- |
| Doornumber<br>Seatnumber<br>Cartype | 0.674<br>0.672<br>0.541 | 0.748<br>0.691<br>0.585 | 0.837<br>0.711<br>0.627 | 0.738<br>0.660<br>0.571 | 0.788<br>0.700<br>0.612 | | 1 |
| Viewpoint | F | R | S | FS | RS |
| --- | --- | --- | --- | --- | --- |
| | meandifference | | | | |
| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 | | | 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| --- | --- | --- |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |
| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| | nData=10 | | | | | He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| --- | --- | --- | --- |
| Baseline | 0.90±0.21 | 0.93±0.14 | 0.8933±0.15 |
| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 | | 1 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |
| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| | nData=10 | | | | | Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |
| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |
| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |
| | nData=10 | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |
| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 | | 0 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |
| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| | nData=10 | | |
| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 | | | Baseline | 0.90±0.21 | 0.93±0.14 | 0.8933±0.15 |
| --- | --- | --- | --- |
| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 | | 1 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |
| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| | nData=10 | | |
| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 | | | Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |
| --- | --- | --- | --- |
| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |
| | nData=10 | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |
| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 | | 0 |
| Model | KL-weight | Acc4 | Acc2 |
| --- | --- | --- | --- |
| Ours | 1 | 0.83 | 0.71 |
| Ours | 2 | 0.88 | 0.64 |
| Ours | 4 | 0.82 | 0.69 |
| Slow | 1 | 0.58 | 0.11 |
| Slow | 2 | 0.65 | 0.12 |
| Slow | 4 | 0.66 | 0.13 |
| VAE | 1 | 0.80 | 0.13 | | | VAE | 2 | 0.52 | 0.12 |
| --- | --- | --- | --- |
| VAE | 4 | 0.51 | 0.13 | | 1 |
| Model | KL-weight | Acc4 | Acc2 |
| --- | --- | --- | --- |
| Ours | 1 | 0.83 | 0.71 |
| Ours | 2 | 0.88 | 0.64 |
| Ours | 4 | 0.82 | 0.69 |
| Slow | 1 | 0.58 | 0.11 |
| Slow | 2 | 0.65 | 0.12 |
| Slow | 4 | 0.66 | 0.13 |
| VAE | 1 | 0.80 | 0.13 | | | Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |
| --- | --- | --- | --- |
| Ours | 1 | 6.71 | 1.79 |
| Ours | 2 | 6.74 | 1.73 |
| Ours | 4 | 6.82 | 1.81 |
| Slow | 1 | 4.70 | 1.19 |
| Slow | 2 | 5.78 | 1.57 |
| Slow | 4 | 6.38 | 1.39 |
| VAE | 1 | 1.08 | 1.27 |
| VAE | 2 | 1.70 | 1.24 |
| VAE | 4 | 1.71 | 1.35 | | 0 |
| Model | KL-weight | Acc4 | Acc2 |
| --- | --- | --- | --- |
| Ours | 1 | 0.83 | 0.71 |
| Ours | 2 | 0.88 | 0.64 | | | Ours | 4 | 0.82 | 0.69 |
| --- | --- | --- | --- |
| Slow | 1 | 0.58 | 0.11 |
| Slow | 2 | 0.65 | 0.12 |
| Slow | 4 | 0.66 | 0.13 |
| VAE | 1 | 0.80 | 0.13 |
| VAE | 2 | 0.52 | 0.12 |
| VAE | 4 | 0.51 | 0.13 | | 1 |
| Model | KL-weight | Acc4 | Acc2 |
| --- | --- | --- | --- |
| Ours | 1 | 0.83 | 0.71 |
| Ours | 2 | 0.88 | 0.64 | | | VAE | 1 | 1.08 | 1.27 |
| --- | --- | --- | --- |
| VAE | 2 | 1.70 | 1.24 |
| VAE | 4 | 1.71 | 1.35 | | 0 |
| Method | #Translations | 2012Dataset | 2008Dataset | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MAP | P5 | P10 | MAP | P5 | P10 | | |
| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |
| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 | | | SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 | | | 1 |
| Method | #Translations | 2012Dataset | 2008Dataset | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MAP | P5 | P10 | MAP | P5 | P10 | | |
| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |
| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 | | | Method | #Translations | 2012Dataset | 2008Dataset | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MAP | P5 | P10 | MAP | P5 | P10 | | |
| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |
| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |
| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |
| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 | | | 0 |
| Method | #Translations | 2012Dataset | 2008Dataset | | |
| --- | --- | --- | --- | --- | --- |
| MAP | P5 | P10 | MAP | P5 | P10 | | | WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |
| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |
| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 | | | 1 |
| Method | #Translations | 2012Dataset | 2008Dataset | | |
| --- | --- | --- | --- | --- | --- |
| MAP | P5 | P10 | MAP | P5 | P10 | | | SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 | | | 0 |
| | split1 | split2 | split3 | average |
| --- | --- | --- | --- | --- |
| spatial | 54.3 | 50.2 | 50.4 | 51.6 |
| motion | 62.3 | 63.5 | 64.2 | 63.3 |
| correlation | 66.6 | 65.8 | 65.5 | 66 |
| s+m | 69.9 | 67.1 | 67.1 | 68 | | | avg(s,m)+corr | 70.6 | 67.9 | 67.8 | 68.8 |
| --- | --- | --- | --- | --- |
| s+m+corr | 70.6 | 67.9 | 68.1 | 69 | | 1 |
| | split1 | split2 | split3 | average |
| --- | --- | --- | --- | --- |
| spatial | 54.3 | 50.2 | 50.4 | 51.6 |
| motion | 62.3 | 63.5 | 64.2 | 63.3 |
| correlation | 66.6 | 65.8 | 65.5 | 66 |
| s+m | 69.9 | 67.1 | 67.1 | 68 | | | Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |
| --- | --- | --- | --- | --- | --- | --- |
| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |
| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |
| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |
| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |
| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |
| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |
| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |
| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |
| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |
| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |
| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |
| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 | | 0 |
| | split1 | split2 | split3 | average |
| --- | --- | --- | --- | --- |
| spatial | 54.3 | 50.2 | 50.4 | 51.6 |
| motion | 62.3 | 63.5 | 64.2 | 63.3 |
| correlation | 66.6 | 65.8 | 65.5 | 66 | | | s+m | 69.9 | 67.1 | 67.1 | 68 |
| --- | --- | --- | --- | --- |
| avg(s,m)+corr | 70.6 | 67.9 | 67.8 | 68.8 |
| s+m+corr | 70.6 | 67.9 | 68.1 | 69 | | 1 |
| | split1 | split2 | split3 | average |
| --- | --- | --- | --- | --- |
| spatial | 54.3 | 50.2 | 50.4 | 51.6 |
| motion | 62.3 | 63.5 | 64.2 | 63.3 |
| correlation | 66.6 | 65.8 | 65.5 | 66 | | | (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |
| --- | --- | --- | --- | --- | --- | --- |
| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |
| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |
| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |
| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |
| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |
| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |
| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |
| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |
| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 | | 0 |
| Source | Destination | Throughput(Mb/s) | LLPR |
| --- | --- | --- | --- |
| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 | | | Chicago,IL | Pasadena,CA | 550 | 0.83 |
| --- | --- | --- | --- |
| Chicago,IL | Greenbelt,MD | 615 | 0.98 |
| Chicago,IL | Tokyo,Japan | 490 | 0.61 |
| Tokyo,Japan | Pasadena,CA | 550 | 0.83 |
| Tokyo,Japan | Chicago,IL | 460 | 0.67 | | 1 |
| Source | Destination | Throughput(Mb/s) | LLPR |
| --- | --- | --- | --- |
| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 | | | VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 |
| viaBrennero | 0.4770 | 0.4823 |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 0 |
| Source | Destination | Throughput(Mb/s) | LLPR |
| --- | --- | --- | --- |
| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 | | | Chicago,IL | Pasadena,CA | 550 | 0.83 |
| --- | --- | --- | --- |
| Chicago,IL | Greenbelt,MD | 615 | 0.98 |
| Chicago,IL | Tokyo,Japan | 490 | 0.61 |
| Tokyo,Japan | Pasadena,CA | 550 | 0.83 |
| Tokyo,Japan | Chicago,IL | 460 | 0.67 | | 1 |
| Source | Destination | Throughput(Mb/s) | LLPR |
| --- | --- | --- | --- |
| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 | | | viaBrennero | 0.4770 | 0.4823 |
| --- | --- | --- |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 0 |
| Model | 20-relMAP |
| --- | --- |
| PRA | 54.1 |
| TransE | 53.2 |
| TransR | 54.0 |
| MINERVA | 55.2 |
| DeepPath | 57.2 | | | RNN-Chain | 51.2 |
| --- | --- |
| CNNPath-Reasoner | 54.2 |
| MML | 58.7 |
| | 59.8 | | 1 |
| Model | 20-relMAP |
| --- | --- |
| PRA | 54.1 |
| TransE | 53.2 |
| TransR | 54.0 |
| MINERVA | 55.2 |
| DeepPath | 57.2 | | | Model | 12-relMAP | 9-relMAP |
| --- | --- | --- |
| RPA | 67.5 | - |
| TransE | 75.0 | - |
| TransR | 74.0 | - |
| TransD | 77.3 | - |
| TransH | 75.1 | - |
| MINERVA | - | 88.2 |
| DeepPath | 79.6 | 80.2 |
| RNN-Chain | 79.0 | 80.2 |
| CNNPath-Reasoner | 82.0 | 82.2 |
| | 88.6 | 87.9 | | 0 |
| Model | 20-relMAP |
| --- | --- |
| PRA | 54.1 |
| TransE | 53.2 |
| TransR | 54.0 |
| MINERVA | 55.2 |
| DeepPath | 57.2 | | | RNN-Chain | 51.2 |
| --- | --- |
| CNNPath-Reasoner | 54.2 |
| MML | 58.7 |
| | 59.8 | | 1 |
| Model | 20-relMAP |
| --- | --- |
| PRA | 54.1 |
| TransE | 53.2 |
| TransR | 54.0 |
| MINERVA | 55.2 |
| DeepPath | 57.2 | | | TransD | 77.3 | - |
| --- | --- | --- |
| TransH | 75.1 | - |
| MINERVA | - | 88.2 |
| DeepPath | 79.6 | 80.2 |
| RNN-Chain | 79.0 | 80.2 |
| CNNPath-Reasoner | 82.0 | 82.2 |
| | 88.6 | 87.9 | | 0 |
| | DELLOPTIPLEX | Nexus7 |
| --- | --- | --- |
| Model | DELLOPTIPLEX8010 | Nexus7(2013) | | | OS | Windows7Professional | Android4.4.4 |
| --- | --- | --- |
| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |
| RAM | 16GB | 2GB | | 1 |
| | DELLOPTIPLEX | Nexus7 |
| --- | --- | --- |
| Model | DELLOPTIPLEX8010 | Nexus7(2013) | | | Environment | Clients | ElapsedTime(sec.) | ElapsedTime(ratio) |
| --- | --- | --- | --- |
| DELLOPTIPLEX | 1 | 107 | 1 |
| 2 | 62 | 0.58 | |
| 3 | 52 | 0.49 | |
| 4 | 46 | 0.43 | |
| Nexus7 | 1 | 768 | 1 |
| 2 | 413 | 0.54 | |
| 3 | 293 | 0.38 | |
| 4 | 255 | 0.33 | | | 0 |
| | DELLOPTIPLEX | Nexus7 |
| --- | --- | --- |
| Model | DELLOPTIPLEX8010 | Nexus7(2013) |
| OS | Windows7Professional | Android4.4.4 | | | CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |
| --- | --- | --- |
| RAM | 16GB | 2GB | | 1 |
| | DELLOPTIPLEX | Nexus7 |
| --- | --- | --- |
| Model | DELLOPTIPLEX8010 | Nexus7(2013) |
| OS | Windows7Professional | Android4.4.4 | | | 2 | 413 | 0.54 |
| --- | --- | --- |
| 3 | 293 | 0.38 |
| 4 | 255 | 0.33 | | 0 |
| Channel | Type | Year(s) | h | #Words |
| --- | --- | --- | --- | --- |
| Trainingset | | | | |
| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |
| total | | | 146.28 | 1209K |
| Developmentset | | | | | | | ARD | TV | 2000–01 | 8.93 | 84K |
| --- | --- | --- | --- | --- |
| Testset | | | | |
| DW | Radio | 2000–01 | 6.33 | 50K | | 1 |
| Channel | Type | Year(s) | h | #Words |
| --- | --- | --- | --- | --- |
| Trainingset | | | | |
| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |
| total | | | 146.28 | 1209K |
| Developmentset | | | | | | | Domain | DistantSupervision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dev | Test | Dev | | | | | |
| EM | F1 | EM | F1 | EM | F1 | EM | |
| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |
| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 | |
| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |
| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 | | | 0 |
| Channel | Type | Year(s) | h | #Words |
| --- | --- | --- | --- | --- |
| Trainingset | | | | | | | DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |
| --- | --- | --- | --- | --- |
| total | | | 146.28 | 1209K |
| Developmentset | | | | |
| ARD | TV | 2000–01 | 8.93 | 84K |
| Testset | | | | |
| DW | Radio | 2000–01 | 6.33 | 50K | | 1 |
| Channel | Type | Year(s) | h | #Words |
| --- | --- | --- | --- | --- |
| Trainingset | | | | | | | Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 | |
| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |
| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 | | | 0 |
| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |
| --- | --- | --- | --- | --- | --- | --- |
| Groundtruth | - | - | - | - | - | - |
| AS2S | 55.5255 | 4.0168(-) | 0.4296 | 0.3596 | 0.3045 | 0.2640 |
| AS2S+AW2V | 54.1752 | 3.9922(-) | 0.4319 | 0.3625 | 0.3076 | 0.2669 |
| CVAE | 52.1154 | 3.9535(0.0083) | 0.4366 | 0.3605 | 0.3046 | 0.2637 | | | CVAE+AW2V | 52.0516 | 3.9522(0.0126) | 0.4382 | 0.3630 | 0.3073 | 0.2663 |
| --- | --- | --- | --- | --- | --- | --- |
| CVAE-HD+AW2V | 51.7236 | 3.9459(0.0163) | 0.4405 | 0.3644 | 0.3084 | 0.2672 | | 1 |
| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |
| --- | --- | --- | --- | --- | --- | --- |
| Groundtruth | - | - | - | - | - | - |
| AS2S | 55.5255 | 4.0168(-) | 0.4296 | 0.3596 | 0.3045 | 0.2640 |
| AS2S+AW2V | 54.1752 | 3.9922(-) | 0.4319 | 0.3625 | 0.3076 | 0.2669 |
| CVAE | 52.1154 | 3.9535(0.0083) | 0.4366 | 0.3605 | 0.3046 | 0.2637 | | | nv04 | #ret | Av.P | Av.R | Av.F | Difference |
| --- | --- | --- | --- | --- | --- |
| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |
| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |
| --- | --- | --- | --- | --- | --- | --- |
| Groundtruth | - | - | - | - | - | - | | | AS2S | 55.5255 | 4.0168(-) | 0.4296 | 0.3596 | 0.3045 | 0.2640 |
| --- | --- | --- | --- | --- | --- | --- |
| AS2S+AW2V | 54.1752 | 3.9922(-) | 0.4319 | 0.3625 | 0.3076 | 0.2669 |
| CVAE | 52.1154 | 3.9535(0.0083) | 0.4366 | 0.3605 | 0.3046 | 0.2637 |
| CVAE+AW2V | 52.0516 | 3.9522(0.0126) | 0.4382 | 0.3630 | 0.3073 | 0.2663 |
| CVAE-HD+AW2V | 51.7236 | 3.9459(0.0163) | 0.4405 | 0.3644 | 0.3084 | 0.2672 | | 1 |
| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |
| --- | --- | --- | --- | --- | --- | --- |
| Groundtruth | - | - | - | - | - | - | | | sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| --- | --- | --- | --- | --- | --- |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| Model | Precision |
| --- | --- |
| SVM-unigram | 0.869 |
| SVM-bigram | 0.892 | | | recursive+recurrent | 0.870 |
| --- | --- |
| WNN | 0.902 |
| BENN | 0.910 | | 1 |
| Model | Precision |
| --- | --- |
| SVM-unigram | 0.869 |
| SVM-bigram | 0.892 | | | Model | Sensitivity | Specificity | Accuracy |
| --- | --- | --- | --- |
| SVM(best) | 0.8259 | 0.8324 | 0.8291 |
| LR(best) | 0.7121 | 0.6879 | 0.6991 |
| RF(best) | 0.6901 | 0.6850 | 0.6861 |
| RNNs(best) | 0.9886 | 0.9836 | 0.9763 | | 0 |
| Model | Precision |
| --- | --- |
| SVM-unigram | 0.869 | | | SVM-bigram | 0.892 |
| --- | --- |
| recursive+recurrent | 0.870 |
| WNN | 0.902 |
| BENN | 0.910 | | 1 |
| Model | Precision |
| --- | --- |
| SVM-unigram | 0.869 | | | RF(best) | 0.6901 | 0.6850 | 0.6861 |
| --- | --- | --- | --- |
| RNNs(best) | 0.9886 | 0.9836 | 0.9763 | | 0 |
| DataSet | RealNetwork | RD | SW | SF | HK |
| --- | --- | --- | --- | --- | --- |
| | HighestDegreeofaNode | | | | |
| Blog | 351 | 46 | 47 | 211 | 321 |
| Twitter | 237 | 27 | 27 | 253 | 319 | | | Epinions | 1192 | 77 | 72 | 373 | 560 |
| --- | --- | --- | --- | --- | --- |
| Author | 102 | 15 | 16 | 201 | 183 |
| | ClusteringCoefficient | | | | |
| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |
| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |
| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |
| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |
| | AveragePathLength | | | | |
| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |
| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |
| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |
| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |
| | | | | | | | 1 |
| DataSet | RealNetwork | RD | SW | SF | HK |
| --- | --- | --- | --- | --- | --- |
| | HighestDegreeofaNode | | | | |
| Blog | 351 | 46 | 47 | 211 | 321 |
| Twitter | 237 | 27 | 27 | 253 | 319 | | | #Methods | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |
| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |
| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |
| sentistrengthtwitter | 36.26 | 49.24 | 56.20 | 57.88 | 57.91 | 57.96 | 57.50 | 58.68 |
| sentistrengthyoutube | 38.14 | 50.01 | 54.98 | 56.56 | 57.13 | 55.83 | 55.45 | 56.93 |
| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |
| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |
| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |
| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |
| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |
| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |
| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |
| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 | | 0 |
| DataSet | RealNetwork | RD | SW | SF | HK |
| --- | --- | --- | --- | --- | --- |
| | HighestDegreeofaNode | | | | |
| Blog | 351 | 46 | 47 | 211 | 321 |
| Twitter | 237 | 27 | 27 | 253 | 319 |
| Epinions | 1192 | 77 | 72 | 373 | 560 |
| Author | 102 | 15 | 16 | 201 | 183 |
| | ClusteringCoefficient | | | | |
| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |
| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |
| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 | | | Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |
| --- | --- | --- | --- | --- | --- |
| | AveragePathLength | | | | |
| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |
| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |
| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |
| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |
| | | | | | | | 1 |
| DataSet | RealNetwork | RD | SW | SF | HK |
| --- | --- | --- | --- | --- | --- |
| | HighestDegreeofaNode | | | | |
| Blog | 351 | 46 | 47 | 211 | 321 |
| Twitter | 237 | 27 | 27 | 253 | 319 |
| Epinions | 1192 | 77 | 72 | 373 | 560 |
| Author | 102 | 15 | 16 | 201 | 183 |
| | ClusteringCoefficient | | | | |
| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |
| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |
| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 | | | sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |
| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |
| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |
| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |
| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |
| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 | | 0 |
| free | explode |
| --- | --- |
| kill | kidnap |
| enter | arrest | | | negotiate | encircle |
| --- | --- |
| escapefrom | blocktheway |
| givedeadline | | | 1 |
| free | explode |
| --- | --- |
| kill | kidnap |
| enter | arrest | | | Crimes(MUC): | murder(s),crime(s),killing(s),trafficking,kidnapping(s) |
| --- | --- |
| Crimes(WSJ): | murder(s),crime(s),theft(s),fraud(s),embezzlement |
| Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |
| Weapon: | bomb(s),weapon(s),rifle(s),missile(s),grenade(s),machinegun(s),dynamite |
| Machines: | computer(s),machine(s),equipment,chip(s),machinery | | 0 |
| free | explode |
| --- | --- |
| kill | kidnap |
| enter | arrest |
| negotiate | encircle | | | escapefrom | blocktheway |
| --- | --- |
| givedeadline | | | 1 |
| free | explode |
| --- | --- |
| kill | kidnap |
| enter | arrest |
| negotiate | encircle | | | Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |
| --- | --- |
| Weapon: | bomb(s),weapon(s),rifle(s),missile(s),grenade(s),machinegun(s),dynamite |
| Machines: | computer(s),machine(s),equipment,chip(s),machinery | | 0 |
| T5<br>Starting<br>Vacancy | Oddsoffinishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) | | |
| --- | --- | --- | --- |
| a1 | 1in146 | 1in47 | 1in7 |
| b3 | 1in579 | 1in142 | 1in19 | | | a4 | 1in291 | 1in47 | 1in7 |
| --- | --- | --- | --- |
| c5 | 1in141 | 1in13 | 1in7 | | 1 |
| T5<br>Starting<br>Vacancy | Oddsoffinishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) | | |
| --- | --- | --- | --- |
| a1 | 1in146 | 1in47 | 1in7 |
| b3 | 1in579 | 1in142 | 1in19 | | | Rule(C→Q) | Caption |
| --- | --- |
| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |
| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |
| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |
| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. | | 0 |
| T5<br>Starting<br>Vacancy | Oddsoffinishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) | | |
| --- | --- | --- | --- |
| a1 | 1in146 | 1in47 | 1in7 |
| b3 | 1in579 | 1in142 | 1in19 | | | a4 | 1in291 | 1in47 | 1in7 |
| --- | --- | --- | --- |
| c5 | 1in141 | 1in13 | 1in7 | | 1 |
| T5<br>Starting<br>Vacancy | Oddsoffinishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) | | |
| --- | --- | --- | --- |
| a1 | 1in146 | 1in47 | 1in7 |
| b3 | 1in579 | 1in142 | 1in19 | | | sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |
| --- | --- |
| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |
| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. | | 0 |
| Index | σ0<br>Hp-valueCI2 | Index |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 | | | WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 | | 1 |
| Index | σ0<br>Hp-valueCI2 | Index |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 | | | #Params | RVD | |
| --- | --- | --- |
| @1 | @10 | |
| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Index | σ0<br>Hp-valueCI2 | Index |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 | | | WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 | | 1 |
| Index | σ0<br>Hp-valueCI2 | Index |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| --- | --- | --- |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Parameter | 8-bit | | | | |
| --- | --- | --- | --- | --- | --- |
| Silicon | Carbon | Hybrid | Silicon | Carbon | |
| Totalpower<br>dissipation<br>(watts) | 85.1609µ | 33.728n | 31.162n | 132.9407µ | 61.7694n |
| Averagepower<br>consumption<br>(watts) | 14.42E-05 | 2.615E-05 | 2.147E-05 | 28.147E-05 | 5.665E-05 | | | Propagation<br>Delay(s) | 155.61p | 132.74f | 4.062p | 195.02p | 385.05f |
| --- | --- | --- | --- | --- | --- |
| Powerdelay<br>product(J) | 22.438E-15 | 3.471E-18 | 87.21E-18 | 54.89E-15 | 21.81E-18 | | 1 |
| Parameter | 8-bit | | | | |
| --- | --- | --- | --- | --- | --- |
| Silicon | Carbon | Hybrid | Silicon | Carbon | |
| Totalpower<br>dissipation<br>(watts) | 85.1609µ | 33.728n | 31.162n | 132.9407µ | 61.7694n |
| Averagepower<br>consumption<br>(watts) | 14.42E-05 | 2.615E-05 | 2.147E-05 | 28.147E-05 | 5.665E-05 | | | Parameter | 8-bit | | |
| --- | --- | --- | --- |
| Silicon | Carbon | Silicon | |
| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |
| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |
| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |
| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 | | 0 |
| Parameter | 8-bit | | | |
| --- | --- | --- | --- | --- |
| Silicon | Carbon | Hybrid | Silicon | Carbon | | | Totalpower<br>dissipation<br>(watts) | 85.1609µ | 33.728n | 31.162n | 132.9407µ | 61.7694n |
| --- | --- | --- | --- | --- | --- |
| Averagepower<br>consumption<br>(watts) | 14.42E-05 | 2.615E-05 | 2.147E-05 | 28.147E-05 | 5.665E-05 |
| Propagation<br>Delay(s) | 155.61p | 132.74f | 4.062p | 195.02p | 385.05f |
| Powerdelay<br>product(J) | 22.438E-15 | 3.471E-18 | 87.21E-18 | 54.89E-15 | 21.81E-18 | | 1 |
| Parameter | 8-bit | | | |
| --- | --- | --- | --- | --- |
| Silicon | Carbon | Hybrid | Silicon | Carbon | | | PropagationDelay(s) | 155.61p | 132.74f | 195.02p |
| --- | --- | --- | --- |
| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 | | 0 |
| DialogActClass | Count |
| --- | --- |
| Accept | 21149 |
| Non-Opinionated | 74992 | | | Backchannels | 71235 |
| --- | --- |
| Opinionated | 26770 |
| Questions | 10955 |
| Summarize(Repeat) | 2305 |
| Reject(Oppose) | 1379 |
| Conventionalresponse | 3710 |
| Nonverbal | 1891 |
| Other | 2148 | | 1 |
| DialogActClass | Count |
| --- | --- |
| Accept | 21149 |
| Non-Opinionated | 74992 | | | | Max.length(words) | | | |
| --- | --- | --- | --- | --- |
| Preferencemethod | 8 | 12 | 16 | ∞ |
| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |
| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |
| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |
| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |
| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |
| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |
| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |
| (#utterancesin10-best) | 442 | 710 | 800 | 843 |
| (#utterances) | 506 | 818 | 936 | 1001 | | 0 |
| DialogActClass | Count |
| --- | --- |
| Accept | 21149 | | | Non-Opinionated | 74992 |
| --- | --- |
| Backchannels | 71235 |
| Opinionated | 26770 |
| Questions | 10955 |
| Summarize(Repeat) | 2305 |
| Reject(Oppose) | 1379 |
| Conventionalresponse | 3710 |
| Nonverbal | 1891 |
| Other | 2148 | | 1 |
| DialogActClass | Count |
| --- | --- |
| Accept | 21149 | | | (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |
| --- | --- | --- | --- | --- |
| (#utterancesin10-best) | 442 | 710 | 800 | 843 |
| (#utterances) | 506 | 818 | 936 | 1001 | | 0 |
| PE | skewness | kurtosis |
| --- | --- | --- |
| 0.02 | 0.1502 | 0.0206 |
| 0.04 | 0.1007 | 0.0081 |
| 0.08 | 0.0637 | 0.0021 |
| 0.1 | 0.0537 | 0.0009 |
| 0.2 | 0.0271 | -0.0012 |
| 0.3 | 0.0140 | -0.0017 | | | 0.4 | 0.0056 | -0.0019 |
| --- | --- | --- |
| 0.5 | -0.0004 | -0.0020 |
| 0.6 | -0.0050 | -0.0021 |
| 0.7 | -0.0086 | -0.0021 |
| 0.8 | -0.0116 | -0.0022 |
| 0.9 | -0.0141 | -0.0022 | | 1 |
| PE | skewness | kurtosis |
| --- | --- | --- |
| 0.02 | 0.1502 | 0.0206 |
| 0.04 | 0.1007 | 0.0081 |
| 0.08 | 0.0637 | 0.0021 |
| 0.1 | 0.0537 | 0.0009 |
| 0.2 | 0.0271 | -0.0012 |
| 0.3 | 0.0140 | -0.0017 | | | Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |
| --- | --- | --- | --- | --- | --- | --- |
| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |
| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |
| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |
| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |
| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |
| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |
| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 | | 0 |
| PE | skewness | kurtosis |
| --- | --- | --- |
| 0.02 | 0.1502 | 0.0206 |
| 0.04 | 0.1007 | 0.0081 | | | 0.08 | 0.0637 | 0.0021 |
| --- | --- | --- |
| 0.1 | 0.0537 | 0.0009 |
| 0.2 | 0.0271 | -0.0012 |
| 0.3 | 0.0140 | -0.0017 |
| 0.4 | 0.0056 | -0.0019 |
| 0.5 | -0.0004 | -0.0020 |
| 0.6 | -0.0050 | -0.0021 |
| 0.7 | -0.0086 | -0.0021 |
| 0.8 | -0.0116 | -0.0022 |
| 0.9 | -0.0141 | -0.0022 | | 1 |
| PE | skewness | kurtosis |
| --- | --- | --- |
| 0.02 | 0.1502 | 0.0206 |
| 0.04 | 0.1007 | 0.0081 | | | 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 | | 0 |
| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| --- | --- | --- | --- | --- | --- |
| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 | | | IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| --- | --- | --- | --- | --- | --- |
| Rank-1<br>Rank-5<br>Rank-10 | 0.915±0.011<br>0.969±0.007<br>0.982±0.005 | 0.907±0.011<br>0.955±0.007<br>0.965±0.005 | 0.922±0.011<br>0.975±0.006<br>0.987±0.001 | 0.916±0.009<br>0.971±0.007<br>0.981±0.005 | 0.923±0.01<br>0.961±0.006<br>0.969±0.004 |
| IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| FPIR=0.01<br>FPIR=0.1 | 0.618±0.05<br>0.799±0.014 | 0.64±0.043<br>0.806±0.012 | 0.631±0.041<br>0.813±0.014 | 0.639±0.057<br>0.816±0.015 | 0.646±0.055<br>0.827±0.012 | | 1 |
| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| --- | --- | --- | --- | --- | --- |
| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 | | | Methods | A→W | D→W | W→D |
| --- | --- | --- | --- |
| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |
| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |
| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |
| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |
| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |
| FCR2-c | 61.38 | 94.72 | 98.80 |
| FCR1-c | 59.50 | 95.72 | 99.40 |
| MLR | 50.31 | 93.08 | 97.79 |
| CFV | 25.91 | 82.52 | 92.17 |
| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |
| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |
| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |
| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |
| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |
| MLR+CFV | 44.78 | 94.72 | 97.99 |
| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |
| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |
| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |
| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |
| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 | | 0 |
| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| --- | --- | --- | --- | --- | --- |
| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 | | | IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| --- | --- | --- | --- | --- | --- |
| Rank-1<br>Rank-5<br>Rank-10 | 0.915±0.011<br>0.969±0.007<br>0.982±0.005 | 0.907±0.011<br>0.955±0.007<br>0.965±0.005 | 0.922±0.011<br>0.975±0.006<br>0.987±0.001 | 0.916±0.009<br>0.971±0.007<br>0.981±0.005 | 0.923±0.01<br>0.961±0.006<br>0.969±0.004 |
| IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| FPIR=0.01<br>FPIR=0.1 | 0.618±0.05<br>0.799±0.014 | 0.64±0.043<br>0.806±0.012 | 0.631±0.041<br>0.813±0.014 | 0.639±0.057<br>0.816±0.015 | 0.646±0.055<br>0.827±0.012 | | 1 |
| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |
| --- | --- | --- | --- | --- | --- |
| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 | | | MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |
| --- | --- | --- | --- |
| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |
| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |
| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 | | 0 |
| ExamID | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total | | | Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 | |
| Numberofconfirmedanswers | 519 | 979 | 1,041 | 599 | 551 | 7,291 | 10,980 |
| Numberofcrossedoutanswers | 16 | 24 | 17 | 11 | 42 | 92 | 202 |
| Numberofemptyanswers | 1,034 | 1,967 | 2,032 | 1,190 | 1,267 | 14,877 | 22,367 |
| Totalnumberofpages | 120 | 99 | 103 | 60 | 62 | 371 | 815 | | 1 |
| ExamID | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total | | | 761 | 12 |
| --- | --- |
| 899 | 35 |
| 442 | 4 |
| 2256 | 173 |
| 349 | 1 |
| 446 | 2 |
| 307 | 1 |
| 1472 | 142 |
| 332 | 1 |
| 941 | 81 |
| 646 | 39 |
| 1922 | 201 |
| 623 | 38 |
| 405 | 12 |
| 527 | 22 |
| 491 | 24 |
| 531 | 23 |
| 474 | 27 |
| 515 | 22 |
| 856 | 104 |
| 424 | 17 |
| 515 | 37 |
| 403 | 17 |
| 1615 | 186 | | 0 |
| ExamID | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total | |
| Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |
| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 | | | | Numberofconfirmedanswers | 519 | 979 | 1,041 | 599 | 551 | 7,291 | 10,980 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Numberofcrossedoutanswers | 16 | 24 | 17 | 11 | 42 | 92 | 202 |
| Numberofemptyanswers | 1,034 | 1,967 | 2,032 | 1,190 | 1,267 | 14,877 | 22,367 |
| Totalnumberofpages | 120 | 99 | 103 | 60 | 62 | 371 | 815 | | 1 |
| ExamID | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total | |
| Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |
| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 | | | | 491 | 24 |
| --- | --- |
| 531 | 23 |
| 474 | 27 |
| 515 | 22 |
| 856 | 104 |
| 424 | 17 |
| 515 | 37 |
| 403 | 17 |
| 1615 | 186 | | 0 |
| peak=2 | peak=5 | peak=10 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | |
| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 | | | House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |
| --- | --- | --- | --- | --- | --- | --- |
| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |
| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |
| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 | | 1 |
| peak=2 | peak=5 | peak=10 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | |
| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 | | | peak=1 | peak=2 | peak=5 | peak=10 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | +BLP | | +BLP | | +BLP | +BLP | +BLP | |
| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 |
| House | 23.56 | 23.74 | 24.74 | 25.15 | 26.78 | 27.74 | 28.76 | 29.80 |
| Barbara | 21.37 | 21.56 | 22.33 | 22.51 | 24.57 | 25.12 | 26.52 | 27.31 |
| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |
| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 | | 0 |
| peak=2 | peak=5 | peak=10 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | |
| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 | | | House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |
| --- | --- | --- | --- | --- | --- | --- |
| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |
| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |
| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 | | 1 |
| peak=2 | peak=5 | peak=10 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | |
| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 | | | Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 | | 0 |
| method | a1a | w1a | aust. | spli. | brea. |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |
| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 | | | method | diab. | four. | germ. | heart | |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 76.4323 | 77.8422 | 75.3 | 83.7037 | |
| WSS3 | 77.2135 | 77.6102 | 77.9 | 84.4444 | | | 1 |
| method | a1a | w1a | aust. | spli. | brea. |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |
| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 | | | method | a1a | w1a | aust. | spli. | brea. |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 83.4268 | 97.7796 | 86.2319 | 86 | 97.3646 |
| WSS3 | 83.8006 | 97.9814 | 86.8116 | 86.8 | 97.2182 |
| method | diab. | four. | germ. | heart | |
| WSS-WR | 77.9948 | 100 | 75.8 | 85.1852 | |
| WSS3 | 77.474 | 100 | 77.6 | 84.4444 | | | 0 |
| method | a1a | w1a | aust. | spli. | brea. |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |
| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 | | | method | diab. | four. | germ. | heart | |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 76.4323 | 77.8422 | 75.3 | 83.7037 | |
| WSS3 | 77.2135 | 77.6102 | 77.9 | 84.4444 | | | 1 |
| method | a1a | w1a | aust. | spli. | brea. |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |
| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 | | | method | diab. | four. | germ. | heart | |
| --- | --- | --- | --- | --- | --- |
| WSS-WR | 77.9948 | 100 | 75.8 | 85.1852 | |
| WSS3 | 77.474 | 100 | 77.6 | 84.4444 | | | 0 |
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