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SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment

Overview of attention for article published in Language Resources and Evaluation, January 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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25 Dimensions

Readers on

mendeley
42 Mendeley
Title
SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment
Published in
Language Resources and Evaluation, January 2016
DOI 10.1007/s10579-015-9332-5
Authors

Luisa Bentivogli, Raffaella Bernardi, Marco Marelli, Stefano Menini, Marco Baroni, Roberto Zamparelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Student > Master 11 26%
Researcher 6 14%
Student > Doctoral Student 3 7%
Student > Bachelor 1 2%
Other 3 7%
Unknown 7 17%
Readers by discipline Count As %
Computer Science 17 40%
Linguistics 9 21%
Psychology 3 7%
Business, Management and Accounting 1 2%
Engineering 1 2%
Other 1 2%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 March 2016.
All research outputs
#16,171,492
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#214
of 331 outputs
Outputs of similar age
#238,483
of 401,356 outputs
Outputs of similar age from Language Resources and Evaluation
#9
of 18 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 401,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.