Named Entity Recognition
Structure text by identifying, classifying, and linking text into pre-defined categories.
Classification
Classification, or categorization of entire texts into pre-defined categories.
Multi-lingual Transcription
Identify and extract structured text from documents, images, and other unstructured data.
Multi-lingual Data Collection
Collection of free-form text data from a diverse workforce.
They were delighted by the Hilton's location: surrounded by vibrant nightlife, and in close proximity to major landmarks in Paris. And as luck would have it, Paris Hilton happened to be staying in the room next door!
Accelerate the Development of AI Applications
Scale Text is capable of supporting inputs from a diverse set of languages. Machine learning teams and researchers trust Scale Text to not only accelerate development, but ensure the successful deployment of unbiased, high-quality natural language models.
Leaders in the NLP field choose to leverage Scale Text for the following reasons:
Automated Quality Pipeline
The Scale AI Platform has automated quality checks and systems built into the product to reduce costly human review without sacrificing quality.
Confidence-Based Consensus
Scale Text combines confidence-based consensus and balanced dataset curation to reduce bias and to surface ambiguities early.
Multi-Lingual Support
A large, globally distributed workforce of highly trained labelers gives Scale Text the flexibility to support multiple languages, regional context and unique expertise.
Automatically extract structured text information from unstructured or semi-structured machine-readable content.
Document Processing
Topic Modeling
Product Cataloguing
Policy Enforcement
Understand and interpret text inputs, then generate text responses to interact with the input.
Search and Ad Relevance
Question Answering (Virtual Assistants)
Sentiment & Intent Analysis
Content Summarization & Moderation
Automatically translate text inputs into different languages.
Automated Translation
Automated Transcription
Dialogue Generation
Speech to Text, Text to Speech
Easy to Start, Optimize and Scale
Build models you can trust while maximizing operational efficiency and reducing the cost of ML projects.
Named Entity Recognition
Classification
Multi-lingual Transcription
Multi-lingual Data Collection
client.*createNamedentityrecognitionTask*({
callback_url: 'http://www.example.com/callback',
instruction: 'Please label any people, places, or organizations in the following text.',
params: {
text: "They were delighted by the Hilton's location: surrounded by vibrant nightlife, and in close proximity to major landmarks in Paris. And as luck would have it, Paris Hilton happened to be staying in the room next door!",
labels: [
{
name: 'T_ORG',
display_name: 'Organization',
},
{
name: 'T_LOC',
display_name: 'Location',
},
{
name: 'T_PERS',
display_name: 'Person',
},
]
},
}, (err, task) => {
// do something with task
});Trusted by World Class Companies
Scale Text is trusted by leading machine learning teams to proactively reduce bias in training data and develop more accurate NLP models.
OpenAI threw a bunch of tasks at Scale AI with difficult characteristics, including tight latency requirements and significant ambiguity in correct answers. In response, Scale worked closely with us to adjust their QA systems to our needs.
