Entity Summary
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Check back on Friday May 16th 2014 for more details...
Creating Faceted (divesified) Entity Summaries
Creating entity summaries has been of contemporary interest in the Semantic Web community in the recet past. In our approach called FACES: FACed Entity Summaries, we are interested in generating diversified and user friendly summaries.
Evaluation
System | k = 5 | FACES % ↑ | k = 10 | FACES % ↑ | time/entity in seconds |
---|---|---|---|---|---|
FACES | 1.4314 | NA | 4.3350 | NA | 0.76 sec. |
RELIN | 0.4981 | 187 % | 2.5188 | 72 % | 10.96 sec. |
RELINM | 0.6008 | 138 % | 3.0906 | 40 % | 11.08 sec. |
SUMMARUM | 1.2249 | 17 % | 3.4207 | 27 % | NA |
Ideal summ agreement | 1.9168 | 4.6415 |
System | k = 5 | FACES %↑ | k = 10 | FACES %↑ |
---|---|---|---|---|
FACES | 1.8649 | NA | 5.6931 | NA |
RELIN | 0.7339 | 154 % | 3.3993 | 69 % |
RELINM | 0.8695 | 114 % | 4.1551 | 37 % |
SUMMARUM | 1.6484 | 13 % | 4.4919 | 27 % |
Ideal summ agreement | 2.3194 | 5.6228 |
Experiment | FACES % | RELINM % | SUMMARUM % |
---|---|---|---|
Experiment 1 | 84 % | 16 % | NA |
Experiment 2 | 54 % | 16 % | 30 % |
Dataset
Evauation data is available for download download