Evidence map›Paper›PMID 31156496›Full record

ArticleFrontiers in psychology2019

Automatic Scoring of Semantic Fluency.

Najoung Kim, Jung-Ho Kim, Maria K Wolters, Sarah E MacPherson, Jong C Park

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Accuracy of Speech and Linguistic Analysis in Early Diagnostics of Neurocognitive Disorders in a Memory Clinic Setting.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. SNAFU: The Semantic Network and Fluency Utility.Behavior research methods · 2020
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Najoung KimSchool of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
Jung-Ho KimSchool of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
Maria K WoltersSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Sarah E MacPhersonHuman Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Jong C ParkSchool of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In neuropsychological assessment, semantic fluency is a widely accepted measure of executive function and access to semantic memory. While fluency scores are typically reported as the number of unique words produced, several alternative manual scoring methods have been proposed that provide additional insights into performance, such as clusters of semantically related items. Many automatic scoring methods yield metrics that are difficult to relate to the theories behind manual scoring methods, and most require manually-curated linguistic ontologies or large corpus infrastructure. In this paper, we propose a novel automatic scoring method based on Wikipedia, Backlink-VSM, which is easily adaptable to any of the 61 languages with more than 100k Wikipedia entries, can account for cultural differences in semantic relatedness, and covers a wide range of item categories. Our Backlink-VSM method combines relational knowledge as represented by links between Wikipedia entries (

Indexed as

category fluency testexecutive functionrelation extractionsemantic fluencysemantic memoryverbal fluencyword embeddings

Identifiers

PMID31156496
PMCPMC6532534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.