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NLP Lab

John Snow Labs Inc

(4 Classificações)

NLP Lab

John Snow Labs Inc

(4 Classificações)

NLP Lab is a Free End-to-End No-Code platform for data labeling and DL model and LLM training.

About the offer

The NLP Lab product will be officially retired at the end of 2024 and will be replaced replaced by the Generative AI Lab platform. We encourage all NLP Lab users to subscribe to Generative AI Lab to continue enjoying uninterrupted service and to take advantage of its advanced features. Please visit our product page or contact our support team for detailed information on the transition process and subscription options.

NLP Lab is a Free End-to-End No-Code platform for document labeling and AI/ML model training. It enables domain experts - nurses, doctors, lawyers, accountants, investors, etc. – to extract meaningful facts from text documents, images or PDFs and train models that will automatically predict those facts on new documents. This is done by using state-of-the-art Spark NLP pre-trained models or by tuning models to better handle specific use cases.

Based on an auto-scaling architecture powered by Kubernetes, it can scale to many teams and projects. Enterprise-grade security is provided for free including support for air-gap environments, zero data sharing, role-based access, full audit trails, MFA, and identity provider integrations. It allows powerful experiments for model training and finetuning, model testing, and model deployment as API endpoints.

There is no limitation on the number of users, projects, tasks, models, or training that can be run with this subscription.

Healthcare and Visual features are available via BYOL.

Included Features:

  • Annotation support for Text, Image, Audio, Video and HTML content;
  • High productivity annotation UI with keyboard shortcuts and pre-annotations;
  • Support for text annotation in 250+ languages;
  • Out-of-the-box support for the following NLP tasks: Classification, Named Entity Recognition, Assertion Status, and Relation Extraction;
  • Support for projects and teams – 30+ project templates; unlimited projects and users, project import, export and cloning, project grouping;
  • Task assignment, tagging, and comments; duplicate tasks identification; task searching and filtering;
  • Consensus analysis and Inter Annotator Agreement charts;
  • Performance dashboards;
  • Enterprise-level security and privacy: role-based access control, role-based views, annotation versioning, full audit trail, Single Sign on;
  • AI-Assisted Annotation: never start from scratch but reuse existing models to pre-annotate tasks with the latest Spark NLP models for classification, NER, assertion status, and relation detection;
  • Full Models Hub integration – you can explore available models and embeddings, download them with the click of a button and reuse those in your project configuration.
  • Train Classification, NER, and Assertion Status models – use default parameters or easily tune them on the UI for different experiments;
  • Active Learning automatically trains new versions of your models once new annotations are available;
  • API access to all features for easy integration into custom data analysis pipelines;

Features available with BYOL – Healthcare NLP

  • Access to 550+ Healthcare pre-trained models;
  • Model tuning - Build your models on existing pre-trained models
  • Programmatic labeling via dictionary and regex-based rules;

Features available with BYOL – Visual NLP

  • Pre-annotate PDF and image tasks with Visual NER models;
  • Tune Visual NER models for your data;
  • Annotate directly on the PDF/image;
  • Automatic text recognition;

Target verticals

The NLP Lab is a domain-agnostic tool that can be used to annotate documents in any vertical. Its integration with the NLP Models Hub facilitates access to over 12k pre-trained models for general-purpose text documents and taxonomies.

3 Easy Steps to get started

  1. Subscribe to the product on the Azure Marketplace.
  2. Deploy it on a new machine.
  3. Access the login page for a guided experience at "http://INSTANCE_IP".
    For the first login use "admin" and your SUBSCRIPTION_ID as credentials to login.
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