ArticleBiodiversity data journal2019
COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature.
Article in Biodiversity data journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Utilizing large language models to construct a dataset of Württemberg's 19th-century fauna from historical records.PloS one · 2026Article
- The changing landscape of text mining: a review of approaches for ecology and evolution.Proceedings. Biological sciences · 2024Review
- Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species.Frontiers in artificial intelligence · 2024Article
- TaeC: A manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature.PloS one · 2024Article
- Bootstrapping semi-supervised annotation method for potential suicidal messages.Internet interventions · 2022Review
- BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain.Biodiversity data journal · 2022Article
- Recognition of Latin scientific names using artificial neural networks.Applications in plant sciences · 2020Article
- Open Agile text mining for bioinformatics: the PubAnnotation ecosystem.Bioinformatics (Oxford, England) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.