Difference between revisions of "VerbOcean - RTE Users"
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| Extraction of 18232 entailment rules for all the English verbs connected by the ”stronger-than” relation. For instance, if ”kill [stronger-than] injure”, then the rule ”kill ENTAILS injure” is added to the rules repository. | | Extraction of 18232 entailment rules for all the English verbs connected by the ”stronger-than” relation. For instance, if ”kill [stronger-than] injure”, then the rule ”kill ENTAILS injure” is added to the rules repository. | ||
| Ablation test performed. Negative impact of the resource: -0.16% accuracy on two-way task. | | Ablation test performed. Negative impact of the resource: -0.16% accuracy on two-way task. | ||
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| + | |- bgcolor="#ECECEC" align="left" | ||
| + | | QUANTA | ||
| + | | RTE5 | ||
| + | | | ||
| + | | We use "opposite-of" relation in VerbOcean as a feature | ||
| + | | Ablation test performed. Null impact of the resource on two-way task. | ||
| + | |||
| + | |- bgcolor="#ECECEC" align="left" | ||
| + | | Siel_09 | ||
| + | | RTE5 | ||
| + | | | ||
| + | | Similarity/anthonymy/unrelatedness between verbs | ||
| + | | Ablation test performed. Null impact of the resource both on two-way and on three-way task. | ||
| + | |||
| + | |- bgcolor="#ECECEC" align="left" | ||
| + | | UAIC | ||
| + | | RTE5 | ||
| + | | | ||
| + | | "Opposite-of" relation to detect contradiction. Used in combination with WordNet. | ||
| + | | Ablation test performed (Wordnet + VerbOcean). Positive impact of the two resources together: +2% accuracy on two-way, +1.5% on three-way task. | ||
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| − | ! align="left"|Total: | + | ! align="left"|Total: 11 |
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Latest revision as of 05:19, 22 December 2009
| Participants* | Campaign | Version | Specific usage description | Evaluations / Comments |
|---|---|---|---|---|
| DFKI | RTE5 | FIRST USE: VerbOcean relations are used to calculate relatedness between verbs in T and H. SECOND USE: used to assign relatedness between nominal predicates in T and H,after using WordNet to change the verbal nouns into verbs. |
FIRST USE: Ablation test performed. Impact of the resource: null/+0.17% accuracy respectively on two-way and three-way task for run1; +0.33%/+0.5% for run2; +0.17%/+0.17% for run3. SECOND USE (WordNet+VerbOcean): null/+0.17% accuracy respectively on two-way and three-way task for run1; +0.5%/+0.67% for run2; +0.17%/+0.17% for run3. | |
| DLSIUAES | RTE5 | FIRST USE: Antonymy relation between verbs. SECOND USE: VerbOcean relations used to find correspondence between verbs. |
FIRST USE: Ablation test performed together with WordNet and DLSIUAES_negation_list. Positive impact on two-way run: +0.66% accuracy. Negative impact on three-way run: -1% (-0.5% for two-way derived). SECOND USE: No ablation test performed. | |
| FBKirst | RTE5 | Extraction of 18232 entailment rules for all the English verbs connected by the ”stronger-than” relation. For instance, if ”kill [stronger-than] injure”, then the rule ”kill ENTAILS injure” is added to the rules repository. | Ablation test performed. Negative impact of the resource: -0.16% accuracy on two-way task. | |
| QUANTA | RTE5 | We use "opposite-of" relation in VerbOcean as a feature | Ablation test performed. Null impact of the resource on two-way task. | |
| Siel_09 | RTE5 | Similarity/anthonymy/unrelatedness between verbs | Ablation test performed. Null impact of the resource both on two-way and on three-way task. | |
| UAIC | RTE5 | "Opposite-of" relation to detect contradiction. Used in combination with WordNet. | Ablation test performed (Wordnet + VerbOcean). Positive impact of the two resources together: +2% accuracy on two-way, +1.5% on three-way task. | |
| DFKI | RTE4 | Unrefined | Semantic relation between verbs. | No separate evaluation. |
| DLSIUAES | RTE4 | Data taken from the RTE4 proceedings. Participants are recommended to add further information. | ||
| 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. | ||
| VENSES | RTE3 | Semantic relation between words | No evaluation of the resource | |
| New user | Participants are encouraged to contribute. |
| Total: 11 |
|---|
[*] For further information about participants, click here: RTE Challenges - Data about participants
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