Evidence map›Paper›PMID 18410678›Full record

ArticleBMC bioinformatics2008

Natural language processing in aid of FlyBase curators.

Nikiforos Karamanis, Ruth Seal, Ian Lewin, Peter McQuilton, Andreas Vlachos, Caroline Gasperin, Rachel Drysdale, Ted Briscoe

Abstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. The alliance of genome resources: transforming comparative genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  2. Review
  3. Article
  4. Article
  5. Mining clinical attributes of genomic variants through assisted literature curation in Egas.Database : the journal of biological databases and curation · 2016
    Article
  6. Biocuration with insufficient resources and fixed timelines.Database : the journal of biological databases and curation · 2015
    Article
  7. Egas: a collaborative and interactive document curation platform.Database : the journal of biological databases and curation · 2014
    Article
  8. Annotating the biomedical literature for the human variome.Database : the journal of biological databases and curation · 2013
    Article
  9. Review
  10. Article
  11. Article
  12. Argo: an integrative, interactive, text mining-based workbench supporting curation.Database : the journal of biological databases and curation · 2012
    Article
  13. Using ODIN for a PharmGKB revalidation experiment.Database : the journal of biological databases and curation · 2012
    Article
  14. Opportunities for text mining in the FlyBase genetic literature curation workflow.Database : the journal of biological databases and curation · 2012
    Article
  15. Article
  16. Article
  17. 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

8 authors.

Nikiforos KaramanisComputer Laboratory, University of Cambridge, William Gates Building, Cambridge, CB3 0FD, UK. nikiforos.karamanis@cl.cam.ac.uk
Ruth Seal
Ian Lewin
Peter McQuilton
Andreas Vlachos
Caroline Gasperin
Rachel Drysdale
Ted Briscoe

Funding

Biotechnology and Biological Sciences Research Council BBS/B/16291Medical Research Council G0500293
6 · The paper itself

Abstract

backgroundDespite increasing interest in applying Natural Language Processing (NLP) to biomedical text, whether this technology can facilitate tasks such as database curation remains unclear.

resultsPaperBrowser is the first NLP-powered interface that was developed under a user-centered approach to improve the way in which FlyBase curators navigate an article. In this paper, we first discuss how observing curators at work informed the design and evaluation of PaperBrowser. Then, we present how we appraise PaperBrowser's navigational functionalities in a user-based study using a text highlighting task and evaluation criteria of Human-Computer Interaction. Our results show that PaperBrowser reduces the amount of interactions between two highlighting events and therefore improves navigational efficiency by about 58% compared to the navigational mechanism that was previously available to the curators. Moreover, PaperBrowser is shown to provide curators with enhanced navigational utility by over 74% irrespective of the different ways in which they highlight text in the article.

conclusionWe show that state-of-the-art performance in certain NLP tasks such as Named Entity Recognition and Anaphora Resolution can be combined with the navigational functionalities of PaperBrowser to support curation quite successfully.

Indexed as

Artificial IntelligenceDatabase Management SystemsDatabases, BibliographicNatural Language ProcessingPeriodicals as TopicSoftwareVocabulary, ControlledAlgorithmsInformation Storage and Retrieval

Identifiers

PMID18410678
PMCPMC2375127

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.