VerbOcean - RTE Users

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
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.
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: 5

[*] For further information about participants, click here: RTE Challenges - Data about participants

   Return to RTE Knowledge Resources