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michelecafagna26
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README.md
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@@ -244,19 +244,18 @@ There is no personal or sensitive information
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From the paper:
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>**Quantitying grammatical errors
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We ask two expert annotators to correct grammatical errors in a sample of 9900 captions, 900 of which are shared between the two annotators.
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> The annotators are shown the image caption pairs and they are asked to edit the caption whenever they identify a grammatical error.
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The most common errors reported by the annotators are:
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>- Misuse of prepositions
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>- Wrong verb conjugation
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>- Pronoun omissions
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In order to quantify the extent to which the corrected captions differ from the original ones, we compute the Levenshtein distance (Levenshtein, 1966) between them.
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We observe that 22.5\% of the sample has been edited and only 5\% with a Levenshtein distance greater than 10. This suggests a reasonable
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level of grammatical quality overall, with no substantial grammatical problems. This can also be observed from the Levenshtein distance
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distribution reported in Figure 2. Moreover, the human evaluation is quite reliable as we observe a moderate inter-annotator agreement
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(alpha = 0.507, (Krippendorff, 2018) computed over the shared sample.
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### Dataset Curators
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From the paper:
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+
>**Quantitying grammatical errors:** We ask two expert annotators to correct grammatical errors in a sample of 9900 captions, 900 of which are shared between the two annotators.
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> The annotators are shown the image caption pairs and they are asked to edit the caption whenever they identify a grammatical error.
|
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+
>The most common errors reported by the annotators are:
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>- Misuse of prepositions
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>- Wrong verb conjugation
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>- Pronoun omissions
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253 |
|
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+
>In order to quantify the extent to which the corrected captions differ from the original ones, we compute the Levenshtein distance (Levenshtein, 1966) between them.
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+
>We observe that 22.5\% of the sample has been edited and only 5\% with a Levenshtein distance greater than 10. This suggests a reasonable
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>level of grammatical quality overall, with no substantial grammatical problems. This can also be observed from the Levenshtein distance
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+
>distribution reported in Figure 2. Moreover, the human evaluation is quite reliable as we observe a moderate inter-annotator agreement
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>(alpha = 0.507, (Krippendorff, 2018) computed over the shared sample.
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### Dataset Curators
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