Cadet: Computer Assisted Discovery Extraction And Translation.pdf

I17-3002.pdf
Preview of Cadet: Computer Assisted Discovery Extraction and Translation
🔗 Source: aclweb.org
📊 Size: 890 KB
👤 Author: Benjamin Van Durme ; Tom Lippincott ; Kevin Duh ; Deana Burchfield ; Adam Poliak ; Cash Costello ; T
⬇️ Downloads: 129

Summary

CADET is a workbench for knowledge workers to find, label, and translate documents of interest, combining analytics with a flexible environment for customizing workflows. It uses a micro-service architecture based on Docker and Apache Thrift, allowing for easy development of new research prototypes. The system consists of three main interfaces: Discovery, Extraction, and Translation, which can be customized and integrated with various analytics components. CADET demonstrates an approach for rapid prototyping and integration of Human Language Technology (HLT) components, enabling researchers to quickly integrate their own HLT components or compose workflows from existing components.

Description

CADET is a workbench for knowledge workers to find, label, and translate documents of interest, combining analytics with a flexible environment for customizing...

Technical Information

  • File Format: PDF
  • File Size: 890 KB
  • Pages: 4
  • Language: EN
  • Author: Benjamin Van Durme ; Tom Lippincott ; Kevin Duh ; Deana Burchfield ; Adam Poliak ; Cash Costello ; T
  • Total Downloads: 129
  • Last Updated: 3 hours ago

Document Overview

This PDF document about Cadet: Computer Assisted Discovery Extraction and Translation provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Cadet: Computer Assisted Discovery Extraction and Translation.

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