Dataset Viewer
Auto-converted to Parquet Duplicate
premise
string
hypothesis
string
label
int64
| 0.6370.2260.1630.135 | | --- | | 0.4890.1930.1050.091 |
| 0.4440.1740.0830.073 | | --- | | 0.3720.1430.0670.054 | | 0.3560.1350.0580.049 |
1
| 0.6370.2260.1630.135 | | --- | | 0.4890.1930.1050.091 |
| 0.4068 | 0.2910 | 0.3571 | | --- | --- | --- | | 0.3446 | 0.3532 | 0.3476 | | 0.4592 | 0.2090 | 0.3236 | | 0.5393 | 0.2397 | 0.3751 | | 0.1369 | 0.0986 | 0.1205 | | 0.5626 | 0.2808 | 0.4164 |
0
| 0.6370.2260.1630.135 | | --- | | 0.4890.1930.1050.091 |
| 0.4440.1740.0830.073 | | --- | | 0.3720.1430.0670.054 | | 0.3560.1350.0580.049 |
1
| 0.6370.2260.1630.135 | | --- | | 0.4890.1930.1050.091 |
| 0.1369 | 0.0986 | 0.1205 | | --- | --- | --- | | 0.5626 | 0.2808 | 0.4164 |
0
| | Arg1F1 | Arg2F1 | RelF1 | | --- | --- | --- | --- | | Subordinating | 88.46 | 97.93 | 86.98 | | Coordinating | 90.34 | 90.34 | 82.39 |
| Discourseadverbial | 46.88 | 62.50 | 37.50 | | --- | --- | --- | --- | | All | 86.63 | 93.41 | 82.60 |
1
| | Arg1F1 | Arg2F1 | RelF1 | | --- | --- | --- | --- | | Subordinating | 88.46 | 97.93 | 86.98 | | Coordinating | 90.34 | 90.34 | 82.39 |
| | | Arg1F1 | Arg2F1 | RelF1 | | --- | --- | --- | --- | --- | | Partial | GS+noEP | 86.67 | 99.13 | 86.24 | | GS+EP | 83.62 | 94.98 | 83.52 | | | Auto+EP | 81.72 | 92.64 | 80.96 | | | Exact | GS+noEP | 59.15 | 82.23 | 53.85 | | GS+EP | 57.64 | 79.80 | 52.29 | | | Auto+EP | 47.68 | 70.27 | 40.37 | |
0
| | Arg1F1 | Arg2F1 | RelF1 | | --- | --- | --- | --- | | Subordinating | 88.46 | 97.93 | 86.98 |
| Coordinating | 90.34 | 90.34 | 82.39 | | --- | --- | --- | --- | | Discourseadverbial | 46.88 | 62.50 | 37.50 | | All | 86.63 | 93.41 | 82.60 |
1
| | Arg1F1 | Arg2F1 | RelF1 | | --- | --- | --- | --- | | Subordinating | 88.46 | 97.93 | 86.98 |
| Auto+EP | 81.72 | 92.64 | 80.96 | | | --- | --- | --- | --- | --- | | Exact | GS+noEP | 59.15 | 82.23 | 53.85 | | GS+EP | 57.64 | 79.80 | 52.29 | | | Auto+EP | 47.68 | 70.27 | 40.37 | |
0
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | | | --- | --- | --- | --- | --- | --- | --- | | Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 | | Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |
| Fle. | 17.3 | 17.0 | 18.7 | 17.6 | 17.4 | 17.9 | | --- | --- | --- | --- | --- | --- | --- | | Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 | | Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 | | Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 |
1
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | | | --- | --- | --- | --- | --- | --- | --- | | Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 | | Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | | | --- | --- | --- | --- | --- | --- | --- | | Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 | | Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 | | Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 | | Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 | | Cha. | 19.1 | 19.3 | 18....
0
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | | | --- | --- | --- | --- | --- | --- | --- | | Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |
| Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 | | --- | --- | --- | --- | --- | --- | --- | | Fle. | 17.3 | 17.0 | 18.7 | 17.6 | 17.4 | 17.9 | | Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 | | Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 | | Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 |
1
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | | | --- | --- | --- | --- | --- | --- | --- | | Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |
| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 | | --- | --- | --- | --- | --- | --- | --- | | Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 | | Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 | | Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 | | Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 |
0
| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 | | DFS(all) | 0.98 | 1.09 | 1.08 | 1.03 | 0.86 | 1.03 | 0.46 | 0.94 | 0.73 | 1.01 |
| RS(large) | 0.19 | 0.19 | 0.96 | 0.11 | 0.77 | 0.12 | 0.15 | 0.29 | 0.17 | 0.33 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | DFS(large) | 0.96 | 0.95 | 1.01 | 1.00 | 0.83 | 1.19 | 0.68 | 0.94 | 0.44 | 1.00 |
1
| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 | | DFS(all) | 0.98 | 1.09 | 1.08 | 1.03 | 0.86 | 1.03 | 0.46 | 0.94 | 0.73 | 1.01 |
| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - | | DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - | | BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 | | HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0....
0
| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 |
| DFS(all) | 0.98 | 1.09 | 1.08 | 1.03 | 0.86 | 1.03 | 0.46 | 0.94 | 0.73 | 1.01 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | RS(large) | 0.19 | 0.19 | 0.96 | 0.11 | 0.77 | 0.12 | 0.15 | 0.29 | 0.17 | 0.33 | | DFS(large) | 0.96 | 0.95 | 1.01 | 1.00 | 0.83 | 1.19 | 0.68 | 0.94 | 0.44 | 1.00 |
1
| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 |
| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 | | HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 | | KS | fail | fail | fail | fail | fail | fail | fail | fail | | RS | 0.001 | 0.0...
0
| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) | | --- | --- | --- | | ModelGroove | ModelGroove | |
| A | 100.00×100.00×10.0030.00×30.00×8.00 | 99.97×99.83×10.3129.74×30.01×8.25 | | --- | --- | --- | | B | 100.00×100.00×10.0030.00×30.00×3.00 | 100.39×100.10×9.8230.28×29.98×3.52 | | C | 100.00×100.00×5.00n/a | 100.00×99.98×5.92n/a |
1
| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) | | --- | --- | --- | | ModelGroove | ModelGroove | |
| ModelandApproach | ABSq | | --- | --- | | M2+M5+M10+NETXGB | 0.0368 | | VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 | | VGG-PCAMLP | 0.0287 | | 3DCNN | 0.0284 |
0
| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) | | --- | --- | --- | | ModelGroove | ModelGroove | |
| A | 100.00×100.00×10.0030.00×30.00×8.00 | 99.97×99.83×10.3129.74×30.01×8.25 | | --- | --- | --- | | B | 100.00×100.00×10.0030.00×30.00×3.00 | 100.39×100.10×9.8230.28×29.98×3.52 | | C | 100.00×100.00×5.00n/a | 100.00×99.98×5.92n/a |
1
| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) | | --- | --- | --- | | ModelGroove | ModelGroove | |
| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 | | --- | --- | | VGG-PCAMLP | 0.0287 | | 3DCNN | 0.0284 |
0
| Platform | #campaigns | #tasks | #totalbudget | | --- | --- | --- | --- | | Smartphone | 1102 | 231,892 | $27,702.07 | | Google+ | 823 | 57,203 | $18,960.50 | | Other | 797 | 349,937 | $31,333.06 | | Twitter | 747 | 83,731 | $14,047.21 | | Facebook | 666 | 115,967 | $15,657.86 | | YouTube | 616 | 248,914 | $29,322.28...
| eBay | 22 | 6,014 | $570.52 | | --- | --- | --- | --- | | Yahoo | 21 | 45,686 | $2,355.13 | | Ali | 9 | 3,945 | $551.91 | | Bing | 4 | 675 | $69.00 | | Browseradd-on | 3 | 214 | $73.96 |
1
| Platform | #campaigns | #tasks | #totalbudget | | --- | --- | --- | --- | | Smartphone | 1102 | 231,892 | $27,702.07 | | Google+ | 823 | 57,203 | $18,960.50 | | Other | 797 | 349,937 | $31,333.06 | | Twitter | 747 | 83,731 | $14,047.21 | | Facebook | 666 | 115,967 | $15,657.86 | | YouTube | 616 | 248,914 | $29,322.28...
| Activity | #campaigns | #tasks | totalbudget | | --- | --- | --- | --- | | L | 1,303 | 207,811 | $22,757.32 | | P | 1,293 | 116,682 | $26,796.95 | | S | 1,229 | 577,444 | $46,802.91 | | U | 1,210 | 354,180 | $40,344.71 | | C | 733 | 227,756 | $27,926.15 | | E | 495 | 318,387 | $23,310.10 | | I | 361 | 16,934 | $8,375...
0
| Platform | #campaigns | #tasks | #totalbudget | | --- | --- | --- | --- | | Smartphone | 1102 | 231,892 | $27,702.07 | | Google+ | 823 | 57,203 | $18,960.50 | | Other | 797 | 349,937 | $31,333.06 | | Twitter | 747 | 83,731 | $14,047.21 | | Facebook | 666 | 115,967 | $15,657.86 | | YouTube | 616 | 248,914 | $29,322.28...
| Bing | 4 | 675 | $69.00 | | --- | --- | --- | --- | | Browseradd-on | 3 | 214 | $73.96 |
1
| Platform | #campaigns | #tasks | #totalbudget | | --- | --- | --- | --- | | Smartphone | 1102 | 231,892 | $27,702.07 | | Google+ | 823 | 57,203 | $18,960.50 | | Other | 797 | 349,937 | $31,333.06 | | Twitter | 747 | 83,731 | $14,047.21 | | Facebook | 666 | 115,967 | $15,657.86 | | YouTube | 616 | 248,914 | $29,322.28...
| P | 1,293 | 116,682 | $26,796.95 | | --- | --- | --- | --- | | S | 1,229 | 577,444 | $46,802.91 | | U | 1,210 | 354,180 | $40,344.71 | | C | 733 | 227,756 | $27,926.15 | | E | 495 | 318,387 | $23,310.10 | | I | 361 | 16,934 | $8,375.01 | | H | 357 | 26,305 | $7,547.54 | | Z | 352 | 122,974 | $9,681.65 | | N | 203 | 2...
0
| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Prefix<br>Free | | --- | --- | --- | --- | --- | | IPMS | 100 | 1/0 | 106 | Y | | LPMS-R | 99 | 0.304/0.435 | 2,773 | Y | | B-100 | 91 | 0.097/0.28 | 6,744 | N | | B-110 | 94 | 0.067/0.23 | 7,396 | N |
| B-120 | 95 | 0.056/0.21 | 8,110 | N | | --- | --- | --- | --- | --- | | B-130 | 97 | 0.036/0.17 | 8,814 | N | | B-140 | 98 | 0.025/0.13 | 9,513 | N | | B-150 | 99 | 0.016/0.099 | 10,156 | N | | B-200 | 99 | 0.014/0.099 | 13,578 | N | | B-250 | 100 | 0.004/0.002 | 17,107 | N |
1
| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Prefix<br>Free | | --- | --- | --- | --- | --- | | IPMS | 100 | 1/0 | 106 | Y | | LPMS-R | 99 | 0.304/0.435 | 2,773 | Y | | B-100 | 91 | 0.097/0.28 | 6,744 | N | | B-110 | 94 | 0.067/0.23 | 7,396 | N |
| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N | | --- | --- | --- | --- | --- | --- | --- | | 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 | | 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 | | 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 | | 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 | | 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 | | 5x5 | 5 | 2...
0
| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Prefix<br>Free | | --- | --- | --- | --- | --- | | IPMS | 100 | 1/0 | 106 | Y | | LPMS-R | 99 | 0.304/0.435 | 2,773 | Y | | B-100 | 91 | 0.097/0.28 | 6,744 | N | | B-110 | 94 | 0.067/0.23 | 7,396 | N | | B-120 | 95 | 0.056/0.21 | 8,110 | N |...
| B-150 | 99 | 0.016/0.099 | 10,156 | N | | --- | --- | --- | --- | --- | | B-200 | 99 | 0.014/0.099 | 13,578 | N | | B-250 | 100 | 0.004/0.002 | 17,107 | N |
1
| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Prefix<br>Free | | --- | --- | --- | --- | --- | | IPMS | 100 | 1/0 | 106 | Y | | LPMS-R | 99 | 0.304/0.435 | 2,773 | Y | | B-100 | 91 | 0.097/0.28 | 6,744 | N | | B-110 | 94 | 0.067/0.23 | 7,396 | N | | B-120 | 95 | 0.056/0.21 | 8,110 | N |...
| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 | | --- | --- | --- | --- | --- | --- | --- | | 5x5 | 5 | 20 | 100 | 1 | 1.17 | - | | 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 | | 5x5 | 40 | 10 | 100 | 1 | 1.20 | - | | 15x15 | 5 | 5 | 900 | 1 | 1.22 | - | | 15x15 | 5 | 5 | 900 | 2 | 1.31 | - | | 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1....
0
| Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 | | eτ ...
| | | | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 | | eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | ...
1
| Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 | | eτ ...
| Range | 2LDE | 5LDEs | 30LDEs | 90LDEs | | --- | --- | --- | --- | --- | | 5 | 4.97 | 4.93 | 4.61 | 3.99 | | 9 | 8.92 | 8.89 | 8.16 | 6.78 | | 17 | 16.82 | 16.69 | 15.11 | 11.74 | | 33 | 32.59 | 32.39 | 28.57 | 20.66 | | 65 | 64.15 | 63.28 | 54.06 | 34.68 | | 129 | 127.11 | 124.20 | 99.11 | 51.44 | | 257 | 252.79 | 2...
0
| Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 | | eτ ...
| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |
1
| Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 | | eτ ...
| 129 | 127.11 | 124.20 | 99.11 | 51.44 | | --- | --- | --- | --- | --- | | 257 | 252.79 | 244.76 | 176.12 | 68.40 | | 513 | 501.27 | 481.27 | 308.30 | 87.65 | | 1025 | 993.81 | 945.15 | 525.85 | 114.74 | | 2049 | 1972.04 | 1852.66 | 897.32 | 150.58 | | 4097 | 3920.22 | 3646.23 | 1557.49 | 211.95 | | 8193 | 7810.89 | 7...
0
| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn | | | | --- | --- | --- | --- | --- | | 1. | t1 | | 0<br>t1 | 0∞5<br>,t,y,p2 |
| 2. | t2 | | 0<br>t1 | , | 0<br>t2 | 5∞101<br>,p,y,r,x | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 3. | p | | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | 61∞6<br>,r,x,y,s | | | | | | | | 4. | r | | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<...
1
| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn | | | | --- | --- | --- | --- | --- | | 1. | t1 | | 0<br>t1 | 0∞5<br>,t,y,p2 |
| | F=10,H=1,K=10 | F=10,H=1,K=25 | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt | | 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1...
0
| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn | | | | | | --- | --- | --- | --- | --- | --- | --- | | 1. | t1 | | 0<br>t1 | 0∞5<br>,t,y,p2 | | | | 2. | t2 | | 0<br>t1 | , | 0<br>t2 | 5∞101<br>,p,y,r,x |
| 3. | p | | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | 61∞6<br>,r,x,y,s | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 4. | r | | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | ∞167<br>,y,x,s,q | | | | | | 5. | q | | 0<br>t1 | , | 0<br>t2 | , | 5<b...
1
| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn | | | | | | --- | --- | --- | --- | --- | --- | --- | | 1. | t1 | | 0<br>t1 | 0∞5<br>,t,y,p2 | | | | 2. | t2 | | 0<br>t1 | , | 0<br>t2 | 5∞101<br>,p,y,r,x |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<b...
0
| Comp. | Parts | AP | Time | | --- | --- | --- | --- | | 1 | 0 | 52.3 | 2.27 | | 1 | 4 | 63.2 | 3.48 | | 1 | 8 | 64.2 | 4.84 | | 3 | 0 | 62.9 | 6.48 | | 3 | 4 | 66.7 | 12.20 | | 3 | 8 | 68.4 | 16.47 | | 5 | 0 | 64.8 | 10.25 |
| 5 | 4 | 67.3 | 16.33 | | --- | --- | --- | --- | | 5 | 8 | 68.7 | 22.07 | | 6 | 0 | 65.2 | 10.48 | | 8 | 0 | 66.0 | 11.17 |
1
| Comp. | Parts | AP | Time | | --- | --- | --- | --- | | 1 | 0 | 52.3 | 2.27 | | 1 | 4 | 63.2 | 3.48 | | 1 | 8 | 64.2 | 4.84 | | 3 | 0 | 62.9 | 6.48 | | 3 | 4 | 66.7 | 12.20 | | 3 | 8 | 68.4 | 16.47 | | 5 | 0 | 64.8 | 10.25 |
| T@25 | T@50 | | --- | --- | | 39.5 | 30.5 | | 82.7 | 77.3 | | 82.2 | 71.5 | | 82.4 | 76.8 | | 86.4 | 82.2 | | 90.7 | 85.6 | | 91.4 | 87.6 | | 90.2 | 86.1 |
0
| Comp. | Parts | AP | Time | | --- | --- | --- | --- | | 1 | 0 | 52.3 | 2.27 | | 1 | 4 | 63.2 | 3.48 | | 1 | 8 | 64.2 | 4.84 | | 3 | 0 | 62.9 | 6.48 | | 3 | 4 | 66.7 | 12.20 | | 3 | 8 | 68.4 | 16.47 |
| 5 | 0 | 64.8 | 10.25 | | --- | --- | --- | --- | | 5 | 4 | 67.3 | 16.33 | | 5 | 8 | 68.7 | 22.07 | | 6 | 0 | 65.2 | 10.48 | | 8 | 0 | 66.0 | 11.17 |
1
| Comp. | Parts | AP | Time | | --- | --- | --- | --- | | 1 | 0 | 52.3 | 2.27 | | 1 | 4 | 63.2 | 3.48 | | 1 | 8 | 64.2 | 4.84 | | 3 | 0 | 62.9 | 6.48 | | 3 | 4 | 66.7 | 12.20 | | 3 | 8 | 68.4 | 16.47 |
| 82.4 | 76.8 | | --- | --- | | 86.4 | 82.2 | | 90.7 | 85.6 | | 91.4 | 87.6 | | 90.2 | 86.1 |
0
| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>...
| Azerbaijani<br>Basque<br>Belarusian<br>Bengali<br>Bosnian | 854<br>352<br>1561<br>661<br>760 | 166<br>184<br>291<br>227<br>282 | 284<br>187<br>765<br>280<br>389 | 1244<br>597<br>1295<br>1310<br>1392 | Hebrew<br>Hindi<br>Hungarian<br>Icelandic<br>Indonesian | 670<br>1187<br>227<br>349<br>198 | 466<br>323<br>141<br>82<...
1
| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>...
| Corpus | Language | #Instances | #Words(F/E) | | --- | --- | --- | --- | | HindiTreebank | Hindi | 147 | 963/945 | | ODIN | German | 105 | 747/774 | | Irish | 46 | 252/278 | | | Hausa | 77 | 424/520 | | | Korean | 103 | 518/731 | | | Malagasy | 87 | 489/646 | | | Welsh | 53 | 312/329 | | | Yaqui | 68 | 350/544 |...
0
| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>...
| Azerbaijani<br>Basque<br>Belarusian<br>Bengali<br>Bosnian | 854<br>352<br>1561<br>661<br>760 | 166<br>184<br>291<br>227<br>282 | 284<br>187<br>765<br>280<br>389 | 1244<br>597<br>1295<br>1310<br>1392 | Hebrew<br>Hindi<br>Hungarian<br>Icelandic<br>Indonesian | 670<br>1187<br>227<br>349<br>198 | 466<br>323<br>141<br>82<...
1
| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>...
| Welsh | 53 | 312/329 | | | --- | --- | --- | --- | | Yaqui | 68 | 350/544 | | | SMULTRON | German | 281 | 6829/7236 | | Swedish | 281 | 8402/9377 | |
0
| Model | Accuracy | | --- | --- | | WNN-recursive | 0.930 |
| BENN-recursive | 0.936 | | --- | --- | | recursive | 0.920 | | Entity-Grid | 0.888 |
1
| Model | Accuracy | | --- | --- | | WNN-recursive | 0.930 |
| Model | Precision | | --- | --- | | SVM-unigram | 0.869 | | SVM-bigram | 0.892 | | recursive+recurrent | 0.870 | | WNN | 0.902 | | BENN | 0.910 |
0
| Model | Accuracy | | --- | --- | | WNN-recursive | 0.930 |
| BENN-recursive | 0.936 | | --- | --- | | recursive | 0.920 | | Entity-Grid | 0.888 |
1
| Model | Accuracy | | --- | --- | | WNN-recursive | 0.930 |
| recursive+recurrent | 0.870 | | --- | --- | | WNN | 0.902 | | BENN | 0.910 |
0
| t,T | at | bt | pA,t | PA,t | | --- | --- | --- | --- | --- | | 0,1 | 0.080 | 0 | 0.500 | 0.722 | | 5,2 | 0 | 0.117 | 0.722 | 0.839 |
| 10,3 | 0 | 0.261 | 0839 | 0.564 | | --- | --- | --- | --- | --- | | 15,4 | 0 | 0.055 | 0.564 | 0.712 | | 20,5 | 0 | 0.077 | 0.712 | 0.903 | | 25,6 | 0 | 0.154 | 0.903 | 0.803 | | 30,7 | 0 | 0.251 | 0.803 | 0.576 | | 35,8 | 0 | 0.108 | 0.576 | 0.590 | | 40,9 | 0 | 0.176 | 0.590 | 0.437 | | 45,10 | 0.1397 | 0 | 0.437 |...
1
| t,T | at | bt | pA,t | PA,t | | --- | --- | --- | --- | --- | | 0,1 | 0.080 | 0 | 0.500 | 0.722 | | 5,2 | 0 | 0.117 | 0.722 | 0.839 |
| Ent | ED | MI | | | | | --- | --- | --- | --- | --- | --- | | 15 | 2.872 | 15 | 0.860 | 11 | 0.077 | | 9 | 2.760 | 10 | 0.835 | 10 | 0.116 | | 2 | 2.619 | 11 | 0.814 | 7 | 0.219 | | 3 | 2.600 | 9 | 0.805 | 5 | 0.219 | | 6 | 2.510 | 3 | 0.796 | 8 | 0.220 | | 13 | 2.510 | 2 | 0.794 | 6 | 0.221 | | 5 | 2.506 | 7 | 0....
0
| t,T | at | bt | pA,t | PA,t | | --- | --- | --- | --- | --- | | 0,1 | 0.080 | 0 | 0.500 | 0.722 | | 5,2 | 0 | 0.117 | 0.722 | 0.839 | | 10,3 | 0 | 0.261 | 0839 | 0.564 | | 15,4 | 0 | 0.055 | 0.564 | 0.712 | | 20,5 | 0 | 0.077 | 0.712 | 0.903 | | 25,6 | 0 | 0.154 | 0.903 | 0.803 |
| 30,7 | 0 | 0.251 | 0.803 | 0.576 | | --- | --- | --- | --- | --- | | 35,8 | 0 | 0.108 | 0.576 | 0.590 | | 40,9 | 0 | 0.176 | 0.590 | 0.437 | | 45,10 | 0.1397 | 0 | 0.437 | 0.568 | | 50,11 | 0 | 0.152 | 0.568 | 0.419 | | 55,12 | 00746 | 0 | 0.419 | 0.283 |
1
| t,T | at | bt | pA,t | PA,t | | --- | --- | --- | --- | --- | | 0,1 | 0.080 | 0 | 0.500 | 0.722 | | 5,2 | 0 | 0.117 | 0.722 | 0.839 | | 10,3 | 0 | 0.261 | 0839 | 0.564 | | 15,4 | 0 | 0.055 | 0.564 | 0.712 | | 20,5 | 0 | 0.077 | 0.712 | 0.903 | | 25,6 | 0 | 0.154 | 0.903 | 0.803 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 | | --- | --- | --- | --- | --- | --- | | 4 | 2.506 | 8 | 0.764 | 1 | 0.223 | | 7 | 2.505 | 6 | 0.763 | 2 | 0.225 | | 8 | 2.505 | 5 | 0.763 | 3 | 0.225 | | 1 | 2.504 | 4 | 0.753 | 9 | 0.241 | | 12 | 2.454 | 12 | 0.742 | 15 | 0.248 | | 10 | 1.962 | 1 | 0.700 | 12 | 0.717 | | 11 | 1.61...
0
| Method | Top1 | Top2 | Top5 | Top10 | | --- | --- | --- | --- | --- | | Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 | | Delta-nHinge | 93.4 | NA | NA | 97.8 | | CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |
| MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 | | --- | --- | --- | --- | --- | | SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 | | SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 |
1
| Method | Top1 | Top2 | Top5 | Top10 | | --- | --- | --- | --- | --- | | Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 | | Delta-nHinge | 93.4 | NA | NA | 97.8 | | CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |
| Method | Top1 | Top2 | Top5 | Top10 | | --- | --- | --- | --- | --- | | Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 | | Delta-nHinge | 93.4 | NA | NA | 98.4 | | CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 | | MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 | | SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 | | SRS-LBPmetric* | 96.6 | 97...
0
| Method | Top1 | Top2 | Top5 | Top10 | | --- | --- | --- | --- | --- | | Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |
| Delta-nHinge | 93.4 | NA | NA | 97.8 | | --- | --- | --- | --- | --- | | CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 | | MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 | | SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 | | SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 |
1
| Method | Top1 | Top2 | Top5 | Top10 | | --- | --- | --- | --- | --- | | Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |
| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 | | --- | --- | --- | --- | --- | | SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 | | SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |
0
| linguisticterm | level | 2-tuple | | --- | --- | --- | | NoAlcoholR | l(3,9) | 9<br>(s,0) | | YoungLegalLimitL | l(3,9) | (s,.0125) | | YoungLegalLimitR | l(5,33) | (s,.003) | | IntermediateL | l(5,33) | (s,0) | | IntermediateR | l(4,17) | (s,0) |
| LegalLimitL | l(4,17) | (s,.005) | | --- | --- | --- | | LegalLimitR | l(1,3) | (s,−.07) | | RiskOfDeathR | l(1,3) | (s,0)1 |
1
| linguisticterm | level | 2-tuple | | --- | --- | --- | | NoAlcoholR | l(3,9) | 9<br>(s,0) | | YoungLegalLimitL | l(3,9) | (s,.0125) | | YoungLegalLimitR | l(5,33) | (s,.003) | | IntermediateL | l(5,33) | (s,0) | | IntermediateR | l(4,17) | (s,0) |
| LM | #succ<br>words | dev | eval | | | | --- | --- | --- | --- | --- | --- | | Vit | CN | Vit | CN | | | | ng4 | | 25.00 | 24.19 | 25.19 | 24.44 | | +uni-rnn | | 23.11 | 22.33 | 22.95 | 22.30 | | +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |
0
| linguisticterm | level | 2-tuple | | --- | --- | --- | | NoAlcoholR | l(3,9) | 9<br>(s,0) |
| YoungLegalLimitL | l(3,9) | (s,.0125) | | --- | --- | --- | | YoungLegalLimitR | l(5,33) | (s,.003) | | IntermediateL | l(5,33) | (s,0) | | IntermediateR | l(4,17) | (s,0) | | LegalLimitL | l(4,17) | (s,.005) | | LegalLimitR | l(1,3) | (s,−.07) | | RiskOfDeathR | l(1,3) | (s,0)1 |
1
| linguisticterm | level | 2-tuple | | --- | --- | --- | | NoAlcoholR | l(3,9) | 9<br>(s,0) |
| +uni-rnn | | 23.11 | 22.33 | 22.95 | 22.30 | | --- | --- | --- | --- | --- | --- | | +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |
0
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | --- | --- | --- | | \table | 300 | Fortables | | \table* | 400 | Forwidertables |
1
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment |
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment | | \numberofauthors | 200 | Authorenumeration | | \table | 300 | Fortables | | \table* | 400 | Forwidertables |
0
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment | | \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables | | --- | --- | --- | | \table* | 400 | Forwidertables |
1
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment | | \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables | | --- | --- | --- | | \table* | 400 | Forwidertables |
0
| | All | Airline1 | Airline2 | | --- | --- | --- | --- | | Min | 1 | 3 | 1 | | Q1 | 1 | 3 | 1 | | Median | 3 | 4 | 1 | | Mean | 3.38 | 4.67 | 1.43 | | Q3 | 4 | 5 | 2 |
| 95thper. | 8 | 9 | 3 | | --- | --- | --- | --- | | Max | 43 | 43 | 19 |
1
| | All | Airline1 | Airline2 | | --- | --- | --- | --- | | Min | 1 | 3 | 1 | | Q1 | 1 | 3 | 1 | | Median | 3 | 4 | 1 | | Mean | 3.38 | 4.67 | 1.43 | | Q3 | 4 | 5 | 2 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding | | --- | --- | --- | --- | --- | | Passengers | 1800 | 1800 | 1800 | 1800 | | Min | 48s | 62s | 33s | 62s | | Max(=total) | 418s | 558s | 499s | 279s | | Avg | 244s | 181s | 267s | 165s | | Var | 10,061 | 10,376 | 17,460 | 4,107 | | SD | 100 | 102 | 132 |...
0
| | All | Airline1 | Airline2 | | --- | --- | --- | --- | | Min | 1 | 3 | 1 | | Q1 | 1 | 3 | 1 |
| Median | 3 | 4 | 1 | | --- | --- | --- | --- | | Mean | 3.38 | 4.67 | 1.43 | | Q3 | 4 | 5 | 2 | | 95thper. | 8 | 9 | 3 | | Max | 43 | 43 | 19 |
1
| | All | Airline1 | Airline2 | | --- | --- | --- | --- | | Min | 1 | 3 | 1 | | Q1 | 1 | 3 | 1 |
| 75thperc. | 330s | 221s | 381s | 220s | | --- | --- | --- | --- | --- | | 95thperc. | 398s | 440s | 471s | 265s |
0
| Model | Valid.Perp. | TestPerp. | | --- | --- | --- | | Baseline | 47.64 | 48.62 |
| Multi-Token(L=1) | 45.69 | 47.21 | | --- | --- | --- | | Multi-Token(L=2) | 44.15 | 46.12 | | Multi-Token(L=3) | 45.19 | 46.84 | | Multi-Emb(E=2) | 44.80 | 46.32 | | Multi-Emb(E=3) | 42.76 | 43.78 |
1
| Model | Valid.Perp. | TestPerp. | | --- | --- | --- | | Baseline | 47.64 | 48.62 |
| Model | Valid.Perp. | TestPerp. | | --- | --- | --- | | Baseline | 41.46 | 40.72 | | Multi-Token(L=1) | 49.86 | 50.99 | | Multi-Token(L=2) | 38.61 | 37.22 | | Multi-Token(L=3) | 33.01 | 32.19 | | Multi-Emb(E=2) | 40.30 | 39.28 | | Multi-Emb(E=3) | 45.72 | 44.40 |
0
| Model | Valid.Perp. | TestPerp. | | --- | --- | --- | | Baseline | 47.64 | 48.62 |
| Multi-Token(L=1) | 45.69 | 47.21 | | --- | --- | --- | | Multi-Token(L=2) | 44.15 | 46.12 | | Multi-Token(L=3) | 45.19 | 46.84 | | Multi-Emb(E=2) | 44.80 | 46.32 | | Multi-Emb(E=3) | 42.76 | 43.78 |
1
| Model | Valid.Perp. | TestPerp. | | --- | --- | --- | | Baseline | 47.64 | 48.62 |
| Multi-Token(L=2) | 38.61 | 37.22 | | --- | --- | --- | | Multi-Token(L=3) | 33.01 | 32.19 | | Multi-Emb(E=2) | 40.30 | 39.28 | | Multi-Emb(E=3) | 45.72 | 44.40 |
0
| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER | | --- | --- | --- | --- | --- | --- | --- | | | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 | | | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 | | | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 | | |...
| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 | | --- | --- | --- | --- | --- | --- | --- | | RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |
1
| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER | | --- | --- | --- | --- | --- | --- | --- | | | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 | | | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 | | | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 | | |...
| WordEmbeddingModel | Classificationaccuracyontestingdataset | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | N=12,920 | N=2,295 | N=2,186 | N=308 | | | | | | | RF | SVM | RF | SVM | RF | SVM | RF | SVM | | | GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 5...
0
| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER | | --- | --- | --- | --- | --- | --- | --- | | | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 | | | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 | | | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |
| | 100 | 1193K | Twitter(27B) | 97.02 | 93.01 | 87.33 | | --- | --- | --- | --- | --- | --- | --- | | BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 | | BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 | | BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 | | BLSTMWE(a...
1
| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER | | --- | --- | --- | --- | --- | --- | --- | | | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 | | | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 | | | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |
| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 | | Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 | | GoogleNews+(Sens...
0
| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi | | --- | --- | --- | --- | | mAP | no | 160x120 | 0.8880.8500.6420.8030.674 | | mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 | | MLE | no | 160x120 | 1.3651.3911.9081.3691.551 | | MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |
| R | no | 160x120 | 0.9700.9290.8000.9290.852 | | --- | --- | --- | --- | | R | yes | 160x120 | 0.8110.7110.1410.1360.148 | | mAP | no | 320x240 | 0.8920.8160.4050.6780.686 | | mAP | yes | 320x240 | 0.8460.6870.0180.0720.077 | | MLE | no | 320x240 | 1.4551.4501.9141.4381.592 | | MLE | yes | 320x240 | 1.5331.6052.2001....
1
| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi | | --- | --- | --- | --- | | mAP | no | 160x120 | 0.8880.8500.6420.8030.674 | | mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 | | MLE | no | 160x120 | 1.3651.3911.9081.3691.551 | | MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |
| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi | | --- | --- | --- | | mAP | nonoise | 0.9790.9800.4050.6780.686 | | mAP | noise | 0.9710.9390.0610.2130.157 | | MLE | nonoise | 0.8600.9221.6561.2451.188 | | MLE | noise | 1.0121.0781.7661.4091.383 |
0
| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi | | --- | --- | --- | --- | | mAP | no | 160x120 | 0.8880.8500.6420.8030.674 | | mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |
| MLE | no | 160x120 | 1.3651.3911.9081.3691.551 | | --- | --- | --- | --- | | MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 | | R | no | 160x120 | 0.9700.9290.8000.9290.852 | | R | yes | 160x120 | 0.8110.7110.1410.1360.148 | | mAP | no | 320x240 | 0.8920.8160.4050.6780.686 | | mAP | yes | 320x240 | 0.8460.6870.0180....
1
| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi | | --- | --- | --- | --- | | mAP | no | 160x120 | 0.8880.8500.6420.8030.674 | | mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |
| MLE | nonoise | 0.8600.9221.6561.2451.188 | | --- | --- | --- | | MLE | noise | 1.0121.0781.7661.4091.383 |
0
| method | 2x | 4x | 8x | | --- | --- | --- | --- | | bicubic | 1.6744 | 2.2466 | 3.4520 | | nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |
| JID | 1.0169 | 1.5257 | 2.1921 | | --- | --- | --- | --- | | ours-trainHR | 0.9673 | 1.4906 | 2.1904 |
1
| method | 2x | 4x | 8x | | --- | --- | --- | --- | | bicubic | 1.6744 | 2.2466 | 3.4520 | | nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |
| Method | 800 | 2500 | 10000 | 40000 | | --- | --- | --- | --- | --- | | DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) | | HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) | | BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) | | (d,d)2∞ | | | | ...
0
| method | 2x | 4x | 8x | | --- | --- | --- | --- | | bicubic | 1.6744 | 2.2466 | 3.4520 | | nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |
| JID | 1.0169 | 1.5257 | 2.1921 | | --- | --- | --- | --- | | ours-trainHR | 0.9673 | 1.4906 | 2.1904 |
1
| method | 2x | 4x | 8x | | --- | --- | --- | --- | | bicubic | 1.6744 | 2.2466 | 3.4520 | | nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |
| BD | 38.0 | 116 | 475 | 1941 | | --- | --- | --- | --- | --- | | timing(sec) | | | | |
0
| 0.4068 | 0.2910 | 0.3571 | | --- | --- | --- | | 0.3446 | 0.3532 | 0.3476 | | 0.4592 | 0.2090 | 0.3236 |
| 0.5393 | 0.2397 | 0.3751 | | --- | --- | --- | | 0.1369 | 0.0986 | 0.1205 | | 0.5626 | 0.2808 | 0.4164 |
1
| 0.4068 | 0.2910 | 0.3571 | | --- | --- | --- | | 0.3446 | 0.3532 | 0.3476 | | 0.4592 | 0.2090 | 0.3236 |
| 0.646 | 0.625 | 0.812 | | --- | --- | --- | | - | 0.378 | - | | - | - | 0.847 | | - | - | - | | 0.555 | 0.448 | 0.626 | | - | 0.374 | - | | - | - | - | | 0.494 | - | 0.631 |
0
| 0.4068 | 0.2910 | 0.3571 | | --- | --- | --- | | 0.3446 | 0.3532 | 0.3476 |
| 0.4592 | 0.2090 | 0.3236 | | --- | --- | --- | | 0.5393 | 0.2397 | 0.3751 | | 0.1369 | 0.0986 | 0.1205 | | 0.5626 | 0.2808 | 0.4164 |
1
| 0.4068 | 0.2910 | 0.3571 | | --- | --- | --- | | 0.3446 | 0.3532 | 0.3476 |
| 0.555 | 0.448 | 0.626 | | --- | --- | --- | | - | 0.374 | - | | - | - | - | | 0.494 | - | 0.631 |
0
| DateandTimestamp(s) | Description | | --- | --- | | 7Mar.201416:42Z | MH370departsKualaLumpaAirport | | LastACARStransmission | 7Mar.201417:07Z | | Lossofsecondaryradar | 7Mar.201417:21:13Z |
| 7Mar.201418:22:12Z | LastMalaysianmilitaryradarcontact | | --- | --- | | 7Mar.201418:25Z-18:28Z | SatelliteDataUnit(SDU)log-onsequence | | 7Mar.201418:39-18:41Z | Unansweredground-to-airphonecall | | 7Mar.201419:41Zto8Mar.201400:11Z | SATCOMmetadataapprox.hourlyfromMH370 | | 8Mar.201400:19:29Z-00:19:37Z | PartialSDUl...
1
| DateandTimestamp(s) | Description | | --- | --- | | 7Mar.201416:42Z | MH370departsKualaLumpaAirport | | LastACARStransmission | 7Mar.201417:07Z | | Lossofsecondaryradar | 7Mar.201417:21:13Z |
| Identifier | DateandTimestampofLog-on | DurationofPrecedingPowerOutage | | --- | --- | --- | | Log-on1 | 23rdFeb.23:57Z | Between381and442minutes | | Log-on2 | 26thFeb.14:11Z | Between295and354minutes | | Log-on3 | 5thMar.03:06Z | Between35and95minutes | | Log-on4 | 6thMar.13:29Z | Between43and103minutes | | Log-on5 |...
0
| DateandTimestamp(s) | Description | | --- | --- | | 7Mar.201416:42Z | MH370departsKualaLumpaAirport | | LastACARStransmission | 7Mar.201417:07Z |
| Lossofsecondaryradar | 7Mar.201417:21:13Z | | --- | --- | | 7Mar.201418:22:12Z | LastMalaysianmilitaryradarcontact | | 7Mar.201418:25Z-18:28Z | SatelliteDataUnit(SDU)log-onsequence | | 7Mar.201418:39-18:41Z | Unansweredground-to-airphonecall | | 7Mar.201419:41Zto8Mar.201400:11Z | SATCOMmetadataapprox.hourlyfromMH370 ...
1
| DateandTimestamp(s) | Description | | --- | --- | | 7Mar.201416:42Z | MH370departsKualaLumpaAirport | | LastACARStransmission | 7Mar.201417:07Z |
| Log-on4 | 6thMar.13:29Z | Between43and103minutes | | --- | --- | --- | | Log-on5 | 6thMar.15:02Z | Between35and92minutes | | Log-on6 | 7thMar.12:50Z | Between228and288minutes | | Log-on7 | 7thMar.18:25Z | Between20and78minutes |
0
| Background | Foreground | Mean | | | | | | --- | --- | --- | --- | --- | --- | --- | | Raw | Deep | Raw | Deep | Raw | Deep | | | LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 | | MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 | | ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 | | SA | 0.688 ...
| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 | | --- | --- | --- | --- | --- | --- | --- | | LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |
1
| Background | Foreground | Mean | | | | | | --- | --- | --- | --- | --- | --- | --- | | Raw | Deep | Raw | Deep | Raw | Deep | | | LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 | | MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 | | ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 | | SA | 0.688 ...
| Background | Foreground | Mean | | | | | | --- | --- | --- | --- | --- | --- | --- | | Raw | Deep | Raw | Deep | Raw | Deep | | | LBP | 0.846 | 0.854 | 0.029 | 0.112 | 0.438 | 0.446 | | MF | 0.861 | 0.837 | 0.059 | 0.209 | 0.460 | 0.523 | | ICM-iter | 0.722 | 0.797 | 0.312 | 0.379 | 0.517 | 0.588 | | SA | 0.806 ...
0
| Background | Foreground | Mean | | | | | | --- | --- | --- | --- | --- | --- | --- | | Raw | Deep | Raw | Deep | Raw | Deep | | | LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 | | MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 | | ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 | | SA | 0.688 ...
| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 | | --- | --- | --- | --- | --- | --- | --- | | LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |
1
| Background | Foreground | Mean | | | | | | --- | --- | --- | --- | --- | --- | --- | | Raw | Deep | Raw | Deep | Raw | Deep | | | LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 | | MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 | | ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 | | SA | 0.688 ...
| Gibbs | 0.840 | 0.840 | 0.233 | 0.197 | 0.537 | 0.518 | | --- | --- | --- | --- | --- | --- | --- | | LocPMAP | 0.753 | 0.826 | 0.337 | 0.404 | 0.545 | 0.615 |
0
| Set<br>Label | Non-Temporal | Temporal | | | | --- | --- | --- | --- | --- | | ROP | Stage1 | Stage2 | Stage1 | Stage2 | | Instruction-levelEvents | | | | |
| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 | | --- | --- | --- | --- | --- | --- | | I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 | | I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 | | MicroarchitecturalEvents | | | | | | | M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 | | M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 ...
1
| Set<br>Label | Non-Temporal | Temporal | | | | --- | --- | --- | --- | --- | | ROP | Stage1 | Stage2 | Stage1 | Stage2 | | Instruction-levelEvents | | | | |
| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 | | --- | --- | --- | --- | --- | --- | | 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | | 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 | | 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 | | 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 | | 10000 ...
0
| Set<br>Label | Non-Temporal | Temporal | | | | | --- | --- | --- | --- | --- | --- | | ROP | Stage1 | Stage2 | Stage1 | Stage2 | | | Instruction-levelEvents | | | | | | | I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 | | I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 | | I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.82...
| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 | | --- | --- | --- | --- | --- | --- | | AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 | | AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |
1
| Set<br>Label | Non-Temporal | Temporal | | | | | --- | --- | --- | --- | --- | --- | | ROP | Stage1 | Stage2 | Stage1 | Stage2 | | | Instruction-levelEvents | | | | | | | I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 | | I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 | | I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.82...
| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 | | --- | --- | --- | --- | --- | --- | | 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |
0
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
15