ArticleNucleic acids research2018
ezTag: tagging biomedical concepts via interactive learning.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- BioKC: a collaborative platform for curation and annotation of molecular interactions.Database : the journal of biological databases and curation · 2024Article
- MetaTron: advancing biomedical annotation empowering relation annotation and collaboration.BMC bioinformatics · 2024Article
- Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study.Interactive journal of medical research · 2023Article
- Microevolutionary dynamics of eccDNA in Chinese hamster ovary cells grown in fed-batch cultures under control and lactate-stressed conditions.Scientific reports · 2023Article
- Deep Learning Model for COVID-19 Sentiment Analysis on Twitter.New generation computing · 2023Article
- Extract antibody and antigen names from biomedical literature.BMC bioinformatics · 2022Article
- Semi-Automated Data Curation from Biomedical Literature.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- MedTAG: a portable and customizable annotation tool for biomedical documents.BMC medical informatics and decision making · 2021Article
- A Review on Human-AI Interaction in Machine Learning and Insights for Medical Applications.International journal of environmental research and public health · 2021Review
- An extensive review of tools for manual annotation of documents.Briefings in bioinformatics · 2021Review
- Markup: A Web-Based Annotation Tool Powered by Active Learning.Frontiers in digital health · 2021Article
- ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts.Frontiers in research metrics and analytics · 2021Article
- Amplifying Domain Expertise in Clinical Data Pipelines.JMIR medical informatics · 2020Article
- TeamTat: a collaborative text annotation tool.Nucleic acids research · 2020Article
- PubTerm: a web tool for organizing, annotating and curating genes, diseases, molecules and other concepts from PubMed records.Database : the journal of biological databases and curation · 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
5 authors.
Funding
Abstract
Recently, advanced text-mining techniques have been shown to speed up manual data curation by providing human annotators with automated pre-annotations generated by rules or machine learning models. Due to the limited training data available, however, current annotation systems primarily focus only on common concept types such as genes or diseases. To support annotating a wide variety of biological concepts with or without pre-existing training data, we developed ezTag, a web-based annotation tool that allows curators to perform annotation and provide training data with humans in the loop. ezTag supports both abstracts in PubMed and full-text articles in PubMed Central. It also provides lexicon-based concept tagging as well as the state-of-the-art pre-trained taggers such as TaggerOne, GNormPlus and tmVar. ezTag is freely available at http://eztag.bioqrator.org.
Indexed as
Identifiers
What Socratic 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 Socratic graph.