Difference between revisions of "Framenet - RTE Users"

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{|class="wikitable sortable" cellpadding="3" cellspacing="0" border="1"  
 
|- bgcolor="#CDCDCD"
 
|- bgcolor="#CDCDCD"
! nowrap="nowrap"|Participants
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! nowrap="nowrap"|Participants*
 
! nowrap="nowrap"|Campaign
 
! nowrap="nowrap"|Campaign
 
! nowrap="nowrap"|Version
 
! nowrap="nowrap"|Version
 
! nowrap="nowrap"|Specific usage description
 
! nowrap="nowrap"|Specific usage description
! nowrap="nowrap"|Evalutations / Comments
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! nowrap="nowrap"|Evaluations / Comments
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|- bgcolor="#ECECEC" align="left"
 
|- bgcolor="#ECECEC" align="left"
| Del Monte
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| DLSIUAES
| RTE3
+
| RTE5
 +
|
 +
| Frame-to-frame similarity metric. Used in combination with Wordnet.
 +
| Ablation test performed (WordNet+Framenet). Positive impact on two-way run: +1.16% accuracy. Negative impact on three-way run: -0.17% (the same for two-way derived).
 +
 
 +
|- bgcolor="#ECECEC" align="left"
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| UB.dmirg
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| RTE5
 
|  
 
|  
| Verb subcategorization
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| If two lexical items are covered in a single FrameNet frame, then the two items are treated as semantically related. The two verbs ''fly'' and ''pace'', for instance, are covered in (inherited from) the same FrameNet frame ''Self_motion''; therefore, we assume that these two verbs are semantically interchangeable.
| No evaluation of the resource  
+
| Two ablation tests performed. The first for Framenet alone, the second for both WordNet and Framenet. Null impact of the resource(s) on two-way task for both ablations.
 +
 
 
|- bgcolor="#ECECEC" align="left"
 
|- bgcolor="#ECECEC" align="left"
 
| DLSIUAES
 
| DLSIUAES
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|  
 
|  
 
| ''Data taken from the RTE4 proceedings. Participants are recommended to add further information.''
 
| ''Data taken from the RTE4 proceedings. Participants are recommended to add further information.''
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|- bgcolor="#ECECEC" align="left"
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| VENSES
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| RTE3
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|
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| Verb subcategorization
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| No evaluation of the resource
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|- bgcolor="#ECECEC" align="left"
 
|- bgcolor="#ECECEC" align="left"
 
| ''New user''
 
| ''New user''
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|-
 
|-
! align="left"|Total: 2
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! align="left"|Total: 4
 
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<br>
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[*] For further information about participants, click here: [[RTE Challenges - Data about participants]]
 +
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    Return to [[RTE Knowledge Resources]]

Latest revision as of 05:19, 22 December 2009


Participants* Campaign Version Specific usage description Evaluations / Comments
DLSIUAES RTE5 Frame-to-frame similarity metric. Used in combination with Wordnet. Ablation test performed (WordNet+Framenet). Positive impact on two-way run: +1.16% accuracy. Negative impact on three-way run: -0.17% (the same for two-way derived).
UB.dmirg RTE5 If two lexical items are covered in a single FrameNet frame, then the two items are treated as semantically related. The two verbs fly and pace, for instance, are covered in (inherited from) the same FrameNet frame Self_motion; therefore, we assume that these two verbs are semantically interchangeable. Two ablation tests performed. The first for Framenet alone, the second for both WordNet and Framenet. Null impact of the resource(s) on two-way task for both ablations.
DLSIUAES RTE4 Data taken from the RTE4 proceedings. Participants are recommended to add further information.
VENSES RTE3 Verb subcategorization No evaluation of the resource
New user Participants are encouraged to contribute.
Total: 4


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

   Return to RTE Knowledge Resources