How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
You like WebAnno? Use INCEpTION! INCEpTION is the new open source text annotation platform that has all the flexibility and many more exciting features including a completely new human-in-the-loop annotation assistance support, the ability to search texts and annotations, support for RDF/SPARQL…
The main features of webanno/webanno are: Text Annotation.
Open-source alternatives to webanno/webanno include: doccano/doccano — Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a… d5555/tageditor — 🏖TagEditor - Annotation tool for spaCy. cogcomp/talen — -->. etalab/piaf — Question Answering annotation platform - Plateforme d'annotation. franck-dernoncourt/neuroner — Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results. chakki-works/doccano — Doccano is a collaborative labeling platform and text annotation tool designed to create training data for machine…
Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a web-based interface for teams to import raw text, mark datasets, and export structured annotations for model training. The project specifically supports text annotation for classification and named entity recognition tasks. It enables teams to coordinate multiple users on a single project to maintain consistent labeling guidelines and increase the speed of dataset creation. The system includes tools for data management and team coordination, providing the ability to import raw data
Doccano is a collaborative labeling platform and text annotation tool designed to create training data for machine learning. It provides a specialized interface for performing sequence labeling and text classification on natural language datasets. The system functions as a supervised learning dataset manager, allowing multiple users to coordinate within a shared workspace to label datasets for natural language processing tasks. It supports the preparation of raw text data for model training by converting unstructured documents into structured labeled examples. The platform includes capabilit
