NACSOS-nexus: NLP Assisted Classification, Synthesis and Online Screening with New and EXtended Usage Scenarios

Fuente: arXiv
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Main Authors: Repke, Tim, Callaghan, Max
Format: Preprint
Published: 2024
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author Repke, Tim
Callaghan, Max
author_facet Repke, Tim
Callaghan, Max
contents NACSOS is a web-based platform for curating data used in systematic maps. It contains several (experimental) features that aid the evidence synthesis process from finding and ingesting primary data (mainly scientific publications), basic search and exploration thereof, but mainly the handling of managing the manual and automated annotations. The platform supports prioritised screening algorithms and is the first to fully implement statistical stopping criteria. Annotations by multiple coders can be resolved and customisable quality metrics are computed on-the-fly. In its current state, the annotations are performed on document level. The ecosystem around NACSOS offers packages for accessing the underlying database and practical utility functions that have proven useful in a multitude of projects. Further, it provides the backbone of living maps, review ecosystems, and our public literature hub for sharing high-quality curated corpora.
format Preprint
id arxiv_https___arxiv_org_abs_2405_04621
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle NACSOS-nexus: NLP Assisted Classification, Synthesis and Online Screening with New and EXtended Usage Scenarios
Repke, Tim
Callaghan, Max
Digital Libraries
NACSOS is a web-based platform for curating data used in systematic maps. It contains several (experimental) features that aid the evidence synthesis process from finding and ingesting primary data (mainly scientific publications), basic search and exploration thereof, but mainly the handling of managing the manual and automated annotations. The platform supports prioritised screening algorithms and is the first to fully implement statistical stopping criteria. Annotations by multiple coders can be resolved and customisable quality metrics are computed on-the-fly. In its current state, the annotations are performed on document level. The ecosystem around NACSOS offers packages for accessing the underlying database and practical utility functions that have proven useful in a multitude of projects. Further, it provides the backbone of living maps, review ecosystems, and our public literature hub for sharing high-quality curated corpora.
title NACSOS-nexus: NLP Assisted Classification, Synthesis and Online Screening with New and EXtended Usage Scenarios
topic Digital Libraries
url https://arxiv.org/abs/2405.04621