Evidence map›Paper›PMID 32802011›Full record

ArticleLanguage resources and evaluation2020

A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics.

Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier

Abstract read
In one paragraph

Article in Language resources and evaluation, 2020. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Risk assessment strategies for early detection and prediction of infectious disease outbreaks associated with climate change.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2019
    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

3 authors.

Milan GrittaLanguage Technology Lab (LTL), Department of Theoretical and Applied Linguistics (DTAL), University of Cambridge, 9 West Road, Cambridge, CB3 9DP UK.ORCID 0000-0003-0014-7275
Mohammad Taher PilehvarLanguage Technology Lab (LTL), Department of Theoretical and Applied Linguistics (DTAL), University of Cambridge, 9 West Road, Cambridge, CB3 9DP UK.
Nigel CollierLanguage Technology Lab (LTL), Department of Theoretical and Applied Linguistics (DTAL), University of Cambridge, 9 West Road, Cambridge, CB3 9DP UK.

Funding

Medical Research Council MR/M025160/1
6 · The paper itself

Abstract

Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is further made inconsistent, even unrepresentative of real world usage by the lack of distinction between the

Indexed as

Evaluation frameworkGeocodingGeonamesGeoparsingGeotaggingMachine learningNamed Entity RecognitionNatural language understandingPragmaticsToponym resolutionToponyms

Identifiers

PMID32802011
PMCPMC7406539

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.