Difference between revisions of "RTE5 - Ablation Tests"

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{|class="wikitable sortable" cellpadding="3" cellspacing="0" border="1"
  
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|- bgcolor="#CDCDCD"
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! Ablated Resource
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! Team Run
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! Relative accuracy - 2way
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! Relative accuracy - 3way
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! Resource Usage Description
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|- bgcolor="#ECECEC" "align="left"
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| Acronym guide
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| Siel_093.3way
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| style="text-align: right;"|0
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| style="text-align: right;"|0
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| Acronym Resolution
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|- bgcolor="#ECECEC" "align="left"
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| Acronym guide + <br>Acronym_rules by UAIC
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| UAIC20091.3way
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| style="text-align: right;"| +0.0017
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| style="text-align: right;"| +0.0016
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| We start from acronym-guide, but additional we use a rule that consider for expressions like Xaaaa Ybbbb Zcccc the acronym XYZ, regardless of length of text with this form.
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|- bgcolor="#ECECEC" "align="left"
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| DIRT
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| BIU1.2way
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| style="text-align: right;"| +0.0133
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| style="text-align: right;"|
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| Inference rules
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|- bgcolor="#ECECEC" "align="left"
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| DIRT
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| Boeing3.3way
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| style="text-align: right;"| -0.0117
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| style="text-align: right;"| 0
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|
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|- bgcolor="#ECECEC" "align="left"
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| DIRT
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| UAIC20091.3way
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| style="text-align: right;"| +0,0017
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| style="text-align: right;"| +0,0033
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| We transform text and hypothesis with MINIPAR into dependency trees: use of DIRT relations to map verbs in T with verbs in H
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|- bgcolor="#ECECEC" "align="left"
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| Framenet
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| DLSIUAES1.2way
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| style="text-align: right;"| +0,0116
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| style="text-align: right;"|
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| frame-to-frame similarity metric
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|- bgcolor="#ECECEC" "align="left"
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| Framenet
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| DLSIUAES1.3way
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| style="text-align: right;"| -0,0017
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| style="text-align: right;"| -0,0017
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| frame-to-frame similarity metric
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|- bgcolor="#ECECEC" "align="left"
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| Framenet
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| UB.dmirg3.2way
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| style="text-align: right;"| 0
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| style="text-align: right;"|
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|
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|- bgcolor="#ECECEC" "align="left"
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| Grady Ward’s MOBY Thesaurus + <br>Roget's Thesaurus
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| VensesTeam2.2way
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| style="text-align: right;"| +0.0283
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| style="text-align: right;"|
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| Semantic fields are used as semantic similarity matching, in all cases of non identical lemmas
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 +
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|}

Revision as of 07:08, 24 November 2009

Ablated Resource Team Run Relative accuracy - 2way Relative accuracy - 3way Resource Usage Description
Acronym guide Siel_093.3way 0 0 Acronym Resolution
Acronym guide +
Acronym_rules by UAIC 		UAIC20091.3way +0.0017 +0.0016 We start from acronym-guide, but additional we use a rule that consider for expressions like Xaaaa Ybbbb Zcccc the acronym XYZ, regardless of length of text with this form.
DIRT BIU1.2way +0.0133 Inference rules
DIRT Boeing3.3way -0.0117 0
DIRT UAIC20091.3way +0,0017 +0,0033 We transform text and hypothesis with MINIPAR into dependency trees: use of DIRT relations to map verbs in T with verbs in H
Framenet DLSIUAES1.2way +0,0116 frame-to-frame similarity metric
Framenet DLSIUAES1.3way -0,0017 -0,0017 frame-to-frame similarity metric
Framenet UB.dmirg3.2way 0
Grady Ward’s MOBY Thesaurus +
Roget's Thesaurus 		VensesTeam2.2way +0.0283 Semantic fields are used as semantic similarity matching, in all cases of non identical lemmas


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