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Data Augmentation for Metonymy Resolution
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friebolin
Data Augmentation for Metonymy Resolution
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30872907
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30872907
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2 years ago
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friebolin
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@@ -99,7 +99,7 @@ As a comparatively safe (= label preserving) data augmentation strategy, we sele
-
**EN - DE:**
*BMW und Nissan*
bringen Elektroautos auf den Markt.
-
**DE - EN:**
*BMW and Nissan*
**are bringing**
electric cars
**to the market**
.
🚮
**Filtering:**
|
🚮
**Filtering:**
-
All paraphrases that did not contain the original (metonymic) target word or had syntactic variations were filtered out.
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@@ -129,7 +129,7 @@ The *MixUp* process can be used dynamically during training at any epoch.
## 🗃️ Data <a name="data"></a>
The datasets used in this project will be taken from Li et al.[^6] We confine ourselves to the following three:
| 1.
**SemEval: Locations**
[^8]| 2.
**SemEval: Companies & Organizations**
[^8]| 3.
**ReLocar: Locations**
[^5]|
| 1.
**SemEval: Locations**
[^8]
| 2.
**SemEval: Companies & Organizations**
[^8]
| 3.
**ReLocar: Locations**
[^5]
|
| ---------------- | -------------------------------- | -----------------------------------------|
|
<img
src=
"documentation/images/semeval_loc_metonym_ratio.png"
>
|
<img
src=
"documentation/images/semeval_org_metonym_ratio.png"
>
|
<img
src=
"documentation/images/relocar_metonym_ratio.png"
>
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