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Future and Emergent Trends in Language Technology

Overview of attention for book
Attention for Chapter 12: Adopting Semantic Similarity for Utterance Candidates Discovery from Human-to-Human Dialogue Corpus
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Mentioned by

twitter
1 X user

Readers on

mendeley
7 Mendeley
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Chapter title
Adopting Semantic Similarity for Utterance Candidates Discovery from Human-to-Human Dialogue Corpus
Chapter number 12
Book title
Future and Emergent Trends in Language Technology
Published in
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-319-33500-1_12
Book ISBNs
978-3-31-933499-8, 978-3-31-933500-1
Authors

Roman Y. Shtykh, Mitsuharu Makita

Editors

José F. Quesada, Francisco-Jesús Martín Mateos, Teresa Lopez-Soto

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Lecturer 2 29%
Unknown 2 29%
Readers by discipline Count As %
Business, Management and Accounting 2 29%
Computer Science 2 29%
Engineering 2 29%
Unknown 1 14%
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 30 May 2016.
All research outputs
#15,376,252
of 22,875,477 outputs
Outputs from Lecture notes in computer science
#4,649
of 8,128 outputs
Outputs of similar age
#179,400
of 298,931 outputs
Outputs of similar age from Lecture notes in computer science
#95
of 173 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. 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 298,931 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 173 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.