Difference between revisions of "DIRT Paraphrase Collection - RTE Users"
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| − | | | + | | Use of DIRT relations to map verbs in T with verbs in H |
| − | | | + | | Ablation test performed: +0.7% precision on two-way task. |
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| − | | | + | | UAIC |
| RTE3 | | RTE3 | ||
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| − | | | + | | Use of DIRT relations to map verbs in T with verbs in H |
| − | | | + | | Ablation test performed: +0.37% precision on two-way task. |
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| − | | | + | | UIUC |
| − | | | + | | RTE3 |
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| + | | Paired verb/argument patterns | ||
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| − | ! align="left"|Total: | + | ! align="left"|Total: 9 |
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Latest revision as of 11:32, 22 December 2009
| Participants* | Campaign | Version | Specific usage description | Evaluations / Comments |
|---|---|---|---|---|
| BIU | RTE5 | We used the canonical DIRT rulebase version of Szpektor and Dagan (RANLP 2007), and considered top 25 rules. | Ablation test performed. Positive impact of the resource: +1.33% accuracy on two-way task. | |
| Boeing | RTE5 | Verb paraphrases | Ablation test performed. Negative impact of the resource on two-way task: -1.17% accuracy. Null impact of the resource on three-way task. | |
| UAIC | RTE5 | Use of DIRT relations to map verbs in T with verbs in H | Ablation test performed. Positive impact of the resource: +0.17% accuracy on two-way, +0.33% on three-way task. | |
| BIU | RTE4 | We used the canonical DIRT rulebase version of Szpektor and Dagan (RANLP 2007), and considered top 25 rules. | +0.9% on RTE-4 ablation tests | |
| Boeing | RTE4 | Original DIRT db | Elaborate T sentence with DIRT-implied entailments | precision/recall in RTE4: boeing run1: 67%/6%; |
| UAIC | RTE4 | Use of DIRT relations to map verbs in T with verbs in H | Ablation test performed: +0.7% precision on two-way task. | |
| Uoeltg | RTE4 | Data taken from the RTE4 proceedings. Participants are recommended to add further information. | ||
| UAIC | RTE3 | Use of DIRT relations to map verbs in T with verbs in H | Ablation test performed: +0.37% precision on two-way task. | |
| UIUC | RTE3 | Paired verb/argument patterns |
| Total: 9 |
|---|
[*] For further information about participants, click here: RTE Challenges - Data about participants
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