Difference between revisions of "Wikipedia - RTE Users"
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| − | | Extraction of a new resource aimed to identify a "distance" between one name entity from hypothesis and name entities from text, | + | | FIRST USE: Extraction of a new resource based on named entity relation mining using Wikipedia (Iftene and Balahur-Dobrescu, 2008)<br/> |
| − | + | SECOND USE: Extraction of a new resource aimed to identify a "distance" between one name entity from hypothesis and name entities from text | |
| + | | FIRST USE: Ablation test performed. Positive impact of the resource: +0.17% on two-way, +0.50% on three-way task.<br/> | ||
| + | SECOND USE: Ablation test performed (Wikipedia+NER's+Perl patterns). Positive impact of the whole NE module: +6.17% on two-way, +5% on three-way task. | ||
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Revision as of 07:54, 11 December 2009
When not otherwise specified, the data about version, usage and evaluation of the resource have been provided by participants themselves.
| Participants* | Campaign | Version | Specific usage description | Evaluations / Comments |
|---|---|---|---|---|
| BIU | RTE5 | Used for extracting the resource of lexical reference rules, WikiRules! | Cfr. evaluation of WikiRules! | |
| Cswhu | RTE5 | Named entity relations extraction | Ablation test performed. Positive impact of the resosurce: +1.33% on two-way, +3.34% on three-way task | |
| FBKirst | RTE5 | Rules extracted from WP using Latent Semantic Analysis (LSA) | Ablation test performed. Positive impact of the resosurce: +1% on two-way task | |
| PeMoZa | RTE5 | 17 October 2009 | Similarity measure based on WikiPedia, using jLSA (java Latent Semantic Analysis) | No ablation test performed. It is worth mentioning that the similarity measure over Wikipedia, not only covers all the existing pairs, but its computation is also about 100 times faster than the previously used tool based on WordNet |
| QUANTA | RTE5 | Wikipedia redirection set is employed as a synonymous entity set to detect the entity entailment. | No ablation test performed. | |
| UAIC | RTE5 | FIRST USE: Extraction of a new resource based on named entity relation mining using Wikipedia (Iftene and Balahur-Dobrescu, 2008) SECOND USE: Extraction of a new resource aimed to identify a "distance" between one name entity from hypothesis and name entities from text |
FIRST USE: Ablation test performed. Positive impact of the resource: +0.17% on two-way, +0.50% on three-way task. SECOND USE: Ablation test performed (Wikipedia+NER's+Perl patterns). Positive impact of the whole NE module: +6.17% on two-way, +5% on three-way task. | |
| BIU | RTE4 | Used for extracting our novel resource of lexical reference rules (WikiRules!) | Cfr. evaluation of WikiRules! | |
| UAIC | RTE4 | Data taken from the RTE4 proceedings. Participants are recommended to add further information. | ||
| UPC | RTE4 | Data taken from the RTE4 proceedings. Participants are recommended to add further information. | ||
| New user | Participants are encouraged to contribute. |
| Total: 3 |
|---|
[*] For further information about participants, click here: RTE Challenges - Data about participants
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