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日本語における評価用データセットの構築と利用性の向上―JED2022 ワークショップの成果と展望

Overview of attention for article published in Journal of Natural Language Processing, January 2022
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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Title
日本語における評価用データセットの構築と利用性の向上―JED2022 ワークショップの成果と展望
Published in
Journal of Natural Language Processing, January 2022
DOI 10.5715/jnlp.29.1023
Authors

松田 寛, 柴田 知秀, 河原 大輔, 久本 空海, 久保 隆宏, 浅原 正幸

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2022.
All research outputs
#14,849,541
of 24,357,902 outputs
Outputs from Journal of Natural Language Processing
#1
of 1 outputs
Outputs of similar age
#238,092
of 509,412 outputs
Outputs of similar age from Journal of Natural Language Processing
#1
of 1 outputs
Altmetric has tracked 24,357,902 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 509,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them