RTE5 - Ablation Tests: Difference between revisions

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{|class="wikitable sortable" cellpadding="3" cellspacing="0" border="1"


|- bgcolor="#CDCDCD"
! Ablated Resource
! Team Run
! Relative accuracy - 2way
! Relative accuracy - 3way
! Resource Usage Description
|- bgcolor="#ECECEC" "align="left"
| Acronym guide
| Siel_093.3way
| style="text-align: right;"|0
| style="text-align: right;"|0
| Acronym Resolution
|- bgcolor="#ECECEC" "align="left"
| Acronym guide + <br>Acronym_rules by UAIC
| UAIC20091.3way
| style="text-align: right;"| +0.0017
| style="text-align: right;"| +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.
|- bgcolor="#ECECEC" "align="left"
| DIRT
| BIU1.2way
| style="text-align: right;"| +0.0133
| style="text-align: right;"|
| Inference rules
|- bgcolor="#ECECEC" "align="left"
| DIRT
| Boeing3.3way
| style="text-align: right;"| -0.0117
| style="text-align: right;"| 0
|
|- bgcolor="#ECECEC" "align="left"
| DIRT
| UAIC20091.3way
| style="text-align: right;"| +0,0017
| style="text-align: right;"| +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
|- bgcolor="#ECECEC" "align="left"
| Framenet
| DLSIUAES1.2way
| style="text-align: right;"| +0,0116
| style="text-align: right;"|
| frame-to-frame similarity metric
|- bgcolor="#ECECEC" "align="left"
| Framenet
| DLSIUAES1.3way
| style="text-align: right;"| -0,0017
| style="text-align: right;"| -0,0017
| frame-to-frame similarity metric
|- bgcolor="#ECECEC" "align="left"
| Framenet
| UB.dmirg3.2way
| style="text-align: right;"| 0
| style="text-align: right;"|
|
|- bgcolor="#ECECEC" "align="left"
| Grady Ward’s MOBY Thesaurus + <br>Roget's Thesaurus
| VensesTeam2.2way
| style="text-align: right;"| +0.0283
| style="text-align: right;"|
| Semantic fields are used as semantic similarity matching, in all cases of non identical lemmas
|}

Revision as of 14:08, 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