Universal Data Tool
  • Universal Data Tool Docs
  • Installation
  • Running On-Premise
  • Collaborative Labeling
  • Building and Labeling Datasets
    • Image Segmentation
    • Image Classification
    • Text Classification
    • Named Entity Recognition
    • Entity Relations / Part of Speech Tagging
    • Audio Transcription
    • Data Entry
    • Video Segmentation
    • Composite Interfaces
    • Landmark / Pose Annotation
  • Importing Data
    • Upload or Open Directories
    • Import File URLs
    • Import COCO Images
    • Import from Google Drive
    • Import from AWS S3 Bucket
    • Import from CSV or JSON
    • Import using AWS Cognito
    • Import Text Snippets
  • The Format .udt.json
    • What is the .udt.json format?
    • What is the .udt.csv format?
  • Machine Learning
    • Jupyter Notebook Integration
    • Import Datasets into Pandas
    • Fast.ai
      • Fast.ai Image Classification
      • Fast.ai Image Segmentation
  • Integrate with Any Web Page
    • Integrate with the Javascript Library
    • Getting Started with React
  • Train your Workforce
    • Getting Started with UDT Courses
  • Frequently Asked Questions
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On this page
  • Setup the Dataset
  • Import Data
  • Label your Data (with friends!)
  • Export and Use

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  1. Building and Labeling Datasets

Named Entity Recognition

Label words or phrases within text using the Universal Data Tool

PreviousText ClassificationNextEntity Relations / Part of Speech Tagging

Last updated 4 years ago

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Setup the Dataset

Navigate to and click "New File"

Then select the Named Entity Recognition button from the Setup > Data Type page.

You can now configure the interface you'd like for you Named Entity Recognition dataset by adding any labels you'd like to display per sample.

Import Data

You can use any of the following methods to import text data.

Label your Data (with friends!)

Export and Use

Here's what a JSON sample looks like in the resultant dataset:

{
  "document": "This strainer makes a great hat, I'll wear it while I serve spaghetti",
  "annotation": {
    "entities": [
      { text: "strainer", label: "hat", start: 5, end: 12 },
      { text: "spaghetti", label: "food", start: 60, end: 68 }
    ]
  }
}

Go to the Label tab to begin labeling data. See the to label with friends or a team of your labelers.

The easiest way to use a Named Entity Recognition dataset is using the JSON format. Use the "Download JSON" button at the top when you're done labeling and check out the .

Import Text Snippets
Import from CSV or JSON
Collaborative Labeling Guide
Named Entity Recognition JSON Specification
udt.dev
Click "New File" on udt.dev
Select Named Entity Recognition when choosing an interface
Named Entity Recognition Configuration
Named Entity Recognition Example Interface