Open-source alternatives to Inception

Smarter Manual Annotation for Resource-constrained collection of Training data

potato: the portable annotation tool

Question Answering annotation platform - Plateforme d'annotation

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

SpaCy annotator for Named Entity Recognition (NER) using ipywidgets. The annotator allows users to quickly assign (custom) labels to one or more entities in the text, including noisy-prelabelling!

This is a tool for labeling text documents. Slate supports annotation at different scales (spans of characters, tokens, and lines, or a document) and of different types (free text, labels, and links). This covers a range of tasks, such as Part-of-Speech tagging, Named Entity Recognition, Text…

MAE is a lightweight, general-purpose natural language annotation tool

Knodle (Knowledge-supervised Deep Learning Framework) - a new framework for weak supervision with neural networks. It provides a modularization for separating weak data annotations, powerful deep learning models, and methods for improving weakly supervised training.

bulk had a good run, but the way forward is to use reactive Python with proper widgets instead. For a full demo of what I recommend now, check this video.

  Quick Start   |   Documentation   |   Join Slack  

In an attempt to keep all user-facing documentation in one place, please visit the brat homepagebrat which contains extensive documentation and examples of how to use and configure brat. We apologise for only providing minimal documentation along with the installation package but the risk of…

skweak: A software toolkit for weak supervision applied to NLP tasks

Minimalistic CLI labeling tool for text classification

Use ML-Annotate to label data for machine learning purposes

.. image:: http://readthedocs.org/projects/flat/badge/?version=latest :target: http://flat.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

About Anafora - How Annotation Works - Requirements - Documentation - FAQ - Get Anafora

Welcome to NPLM (Noisy Partial Label Model), a programmatic weak supervision system that supports (partial) labeling functions with supervision granuarity ranging from class to a set of classes.

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

🏖TagEditor - Annotation tool for spaCy

This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 2021), that allows you to train your favorite neural network for weakly-supervised classification 1

Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate to predict and suggest complex annotations, and also provides integrated access to common and…

Snorkel is a weak supervision system that enables users to programmatically generate training labels for machine learning models without manual annotation. At its core, it provides a framework for writing labeling functions as Python callables that each vote on data points, and then trains a probabilistic graphical model over these multiple weak supervision sources to estimate latent true labels without any ground truth data. The system automatically learns accuracy and correlation parameters between labeling functions by analyzing observed agreement patterns on unlabeled data, converting lab

CoreNLP is a Java natural language processing library designed to convert raw human language text into structured data. It utilizes a suite of linguistic annotators to analyze text through a pipeline, extracting grammatical structures, sentiment, and linguistic patterns. The project includes a coreference resolution engine that links multiple mentions of the same entity to maintain contextual consistency across documents. It also provides tools for named entity recognition to categorize people, companies, and locations, and a part-of-speech tagger to assign grammatical categories and base for

NER Annotator for SpaCy allows you to create training data for creating a custom NER Model with custom tags.

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…