Evidence map›Paper›PMID 29568821›Full record

ArticleLREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation2016

Reproducibility in Natural Language Processing: A Case Study of Two R Libraries for Mining PubMed/MEDLINE.

K Bretonnel Cohen, Jingbo Xia, Christophe Roeder, Lawrence E Hunter

Open access · greenAbstract read
In one paragraph

Article in LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. CAS: corpus of clinical cases in French.Journal of biomedical semantics · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Three Dimensions of Reproducibility in Natural Language Processing.LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation · 2018
    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

4 authors at 2 institutions in 2 countries.

K Bretonnel CohenBiomedical Text Mining Group Computational Bioscience Program, University of Colorado School of Medicine.
Jingbo XiaDepartment of Bio-statistics, College of Informatics, Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University.
Christophe RoederBiomedical Text Mining Group Computational Bioscience Program, University of Colorado School of Medicine.
Lawrence E HunterBiomedical Text Mining Group Computational Bioscience Program, University of Colorado School of Medicine.
Textron Systems (United Kingdom) · GBHuazhong Agricultural University · CN

Funding

Technology Development for a MolBio Knowledge-BaseR01LM008111 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2004 to 2021
$9.7M
Large-scale meta-analysis of functional MRI dataR01MH096906 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alejandro De La Vega · 2012 to 2026
$7.9M
Bio Text NLPR01LM009254 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2006 to 2018
$5.9M
NIMH NIH HHS R01 MH096906NLM NIH HHS R01 LM008111NLM NIH HHS R01 LM009254
6 · The paper itself

Abstract

There is currently a crisis in science related to highly publicized failures to reproduce large numbers of published studies. The current work proposes, by way of case studies, a methodology for moving the study of reproducibility in computational work to a full stage beyond that of earlier work. Specifically, it presents a case study in attempting to reproduce the reports of two R libraries for doing text mining of the PubMed/MEDLINE repository of scientific publications. The main findings are that a rational paradigm for reproduction of natural language processing papers can be established; the advertised functionality was difficult, but not impossible, to reproduce; and reproducibility studies can produce additional insights into the functioning of the published system. Additionally, the work on reproducibility lead to the production of novel user-centered documentation that has been accessed 260 times since its publication-an average of once a day per library.

Indexed as

natural language processingPubMed/MEDLINEreproducibility

Identifiers

PMID29568821
PMCPMC5860830
OpenAlexW3024839386

What OpenQuestion holds

Textmetadata
LicenceTDM
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.