Automated Approaches to Build Training Sets
Accelerate artificial intelligence in your organization.
A training set (aka dataset) is used to train an algorithm to understand how to apply concepts such as neural networks that learn and produce results. DCL works with organizational data to automate the creation of training sets by building against your own documentation, or we can use our own training sets to support your machine learning initiatives.
Our systematic approach to training set preparation:
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Establish data collection mechanisms
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Identify relevant structures using computer vision technology
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Structure data to make it consistent
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Reduce and harmonize data where appropriate
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Decompose data
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Normalize data
Contact us to discuss and explore practical applications and use cases in which you can apply AI and machine learning technologies in your organization.
Practical Applications of Artificial Intelligence,
Machine Learning, and Natural Language Processing
INTELLIGENT EXTRACTION
PDF, HTML table, and document text extraction. Block-level document analysis using statistical models. Freeform document analysis using natural language processing.
CONTENT RECOGNITION
Content block and phrase-based information recognition using natural language processing and custom algorithms. Reading comprehension against unstructured text and auto-tagging.
MATH EXTRACTION
Decode math equations from images and generate MathML using combination of machine learning and computer vision.
AUTOSTYLING & STRUCTURE
Content analysis and autostyling to create target XML structure—bibliographic references, chemical/pharma content recognition, parts and labels, etc.
Training sets and data annotation are applicable across many industries. Learn how your organization can take advantage of AI and machine learning.
Industries Served
