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Glossary
Check out some useful terms
Our goal is to make using Alphamoon Workspace as easy as possible. We have gathered a bunch of useful terms which will make it easier to navigate our tool.
Before we dive in:
We are constantly improving our Documentation.
If the terms you are interested in are not here yet, feel free to contact us at: [email protected]
Platform Walkthrough
To give you a better idea of how our Platform is organized, go to Dashboard, Queue, Configuration, and Supervision Mode.
Interested in how our technology works? Take a look at these terms:
Intelligent Document Processing (IDP) is a technology-driven approach that combines artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to automate the extraction, understanding, and processing of information from various types of documents. It involves the use of advanced algorithms and techniques to analyze and extract data from unstructured documents, such as invoices, forms, contracts, receipts, and emails
For extraction to happen, Optical Character Recognition (OCR) needs to happen first. Named Entity Recognition (NER) is a natural language processing (NLP) technique used to identify and classify named entities within text. Named entities are specific words or phrases that refer to real-world entities such as persons, organizations, locations, dates, time expressions, quantities, monetary values, and more.
Once the image is converted, the platform pulls the relevant data. Relevant means user-defined or pre-defined in the platform. The data is then downloadable as a CSV, XLSX, or JSON, depending on your needs.
Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that focuses on the interaction between computers and human language. It involves the use of algorithms and techniques to enable computers to understand, interpret, and generate natural language in a way that is meaningful and useful.
Continual learning refers to the ability of an AI system to continuously acquire and integrate new knowledge and skills over time while retaining and building upon previously learned information. Unlike traditional machine learning approaches that require training models from scratch with new data, continual learning aims to enable AI systems to learn incrementally and adapt to evolving environments without catastrophic forgetting.
Tip:
You can access Alphamoon Workspace either as an Admin or as a User.
Role | Permissions |
|---|---|
Admin |
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User |
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You can also manage User Access rights within a selected process:
Role | Permissions |
|---|---|
Process Owner |
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Editor |
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Viewer |
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During processing, the collection will be in one of the following statuses:
Status | Description |
|---|---|
Waiting for files | A new collection has been created but all the files have not been uploaded yet. |
Queued | Your collection is prepared and its files are automatically queued for processing. |
In progress | Your collection is being processed by Alphamoon Workspace. |
Needs review | Your collection has been processed, but it did not meet the certainty threshold for detected fields and requires human supervision as a result.
You will also see this status when the model has not found the fields marked as Mandatory. |
Accepted | The files in your collection have been successfully processed and listed on the Queue page. |
Failed | Your collection or file has been corrupted during the upload or processing stage. Try to delete the collection and re-upload it.
When you hover over the name of the status, information will appear on what might have gone wrong. |
Awesome!
Looks like you already know all the necessary terms to easily navigate through our Platform.
Last modified 5mo ago