WordNet - RTE Users

From ACL Wiki
Revision as of 06:50, 7 May 2009 by Celct (talk | contribs)
Jump to navigation Jump to search

When not otherwise specified, the data about usage of the resource have been gathered from the RTE Knowledge Resources Questionnaire submitted to participants.

Participants* Campaign Version Specific usage description Evalutations / Comments
VENSES RTE3 3.0 Semantic relation between words No evaluation of the resource
AUEB RTE3 2.1 Synonymy resolution Replacing the words of H with their synonyms in T: on RTE3 data sets 2% improvement
Boeing RTE4 2.0 Semantic relation between words No formal evaluation. Plays a role in most entailments found.
DFKI RTE4 3.0 Semantic relation between words No separate evaluation
CERES RTE4 3.0 Hypernyms, antonyms, indexWords (N,V,Adj,Adv) Used, but no evaluation performed
Cambridge RTE4 3.0 Meaning postulates from WordNet noun hyponymy, e.g. forall x: cat(x) -> animal(x) No systematic evaluation
BIU RTE4 3.0 Derived on the fly lexical entailment rules, using synonyms, hypernyms (up to two levels) and derivations. Also used as part of our novel lexical-syntactic resource 0.8% improvement in ablation test on RTE-4. Potential contribution is higher since this resource partially overlaps with the novel lexical-syntactic rule base
FbkIrst RTE4 3.0 Lexical similarity No precise evaluation of the resource has been carried out. In our second run we used a combined system (EDITSneg + EDITSallbutneg), and we had an improvement of 0.6% in accuracy with respect to the first run in which only EDITSneg was used. EDITSallbutneg exploits lexical similarity (WordNet similarity), but we can’t affirm with precision that the improvement is due only to the use of WordNet
AUEB RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
DLSIUAES RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
EMORY RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
FSC RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
IIT RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
IPD RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
OAQA RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
QUANTA RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
SAGAN RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
Stanford 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.
UMD RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
UNED RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
Uoeltg 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: 23


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

   Return to RTE Knowledge Resources