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Automatic Detection of Japanese Compound Functional Expressions and its Application to Statistical Dependency Analysis

Overview of attention for article published in Journal of Natural Language Processing, January 2007
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1 X user

Citations

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Title
Automatic Detection of Japanese Compound Functional Expressions and its Application to Statistical Dependency Analysis
Published in
Journal of Natural Language Processing, January 2007
DOI 10.5715/jnlp.14.5_167
Authors

TAKAO SHIME, MASATOSHI TSUCHIYA, SUGURU MATSUYOSHI, TAKEHITO UTSURO, SATOSHI SATO

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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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 2 100%
Sports and Recreations 1 50%
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 21 July 2015.
All research outputs
#16,554,411
of 24,357,902 outputs
Outputs from Journal of Natural Language Processing
#1
of 1 outputs
Outputs of similar age
#139,874
of 163,450 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 21st percentile – i.e., 21% 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.
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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