The Classifier is a natural language component that assigns a category to a given text based on its content. In this system, the classifier is trained using pairs of example data, where each pair contains a category label and a sample sentence that...
the following variables(some of them are only available in certain contexts): AUTOMATION CONTEXT: GENERAL Variable Java Class Description nl String represents the new line product String name of the product locale Locale current locale CURRENT_DATE Date...
Robots act as an interface between the user and the Natural Language Processing (NLP) engine, using trained models to classify queries and extract key information. The platform provides a default robot is named Coach, but you may create your ones...
detection is a computer vision technique that identifies and locates multiple objects within an image by predicting their classes and positions using bounding boxes. Unlike image classification, which assigns a single label to an entire image, object...
time of writing, you can choose among these filler types: Tag: Assigns a value to a field based on semantic similarity or classification Language: Assigns the document language based on content analysis Template: Assigns a document template based on...
The Zero-Shot model enables automatic classification of documents into user-defined categories without requiring prior training on those specific labels. This allows the system to dynamically assign tags based on the semantic meaning of the content,...
the data processing through the artificial neural network. It can have one or more nodes. For example, if we have a binary classification problem (yes/no), the output layer will have a single output node, which will return either 1 or 0. If, however, we...
style="primary" href="#" target="_self"]download[/button] Include Drop Table: AUTOMATION CONTEXT: VALIDATIONVariableJava ClassDescriptionobjectExtensibleObjectthe object under validation, for instance a Document or a FoldereventHistorythe current...
Natural Language Processing, or simply NLP, is a class of AI model designed to process naturally written texts. NLP enables computers to understand, interpret, and generate human language. It bridges the gap between human communication and machine...
models: Model Version Type Compatibility Description Download zeroshot-1.0 1.0 zeroshot 9.2.3+ Pre-trained zero-shot classification model to generate tags for documents. This model can assign relevant labels to text without requiring prior training on...
Here you can optionally define a set of IPs, hostnames, or networks that are allowed or denied accessing the system. CIDR - Classless Inter-Domain Routing - Notation (Network Ranges) Instead of listing many IPs, you can define a range. CIDR (Classless...
The Embedder class models enable the mapping of entire documents to fixed-length vectors, making it possible their representation in a continuous vector space. This facilitates efficient comparison and manipulation of textual data in natural language...
download a complete example of Import Folder with index file. [automation] AUTOMATION CONTEXT: IMPORT FOLDERSVariableJava ClassDescriptionimportFolder ImportFolder the import folder being processed document Document the document that will be...
Automation tab and type your scripts in the respective text areas. [automation] AUTOMATION CONTEXT: WORKFLOW Variable Java Class Description candidates User list of the current task's candidate users documents Document list of the attached documents...
this set of models: Neural Network: useful to predict the category or nature of an object on the basis of input data Classifier: uses Natural Language Processing (NLP) to catalog a naturally written text Tokens Detector: uses Natural Language Processing...
sentence. It is used to detect structured data like IDs, names, dates, or codes embedded in natural language text. Unlike a classifier, which categorizes entire sentences, the tokens detector focuses on marking and labeling subsections of a sentence....
elaborations and update the variable $attribute accordingly. [automation] AUTOMATION CONTEXT: INITIALIZATION Variable Java Class Description object ExtensibleObject the object under initialization, for instance a Document or a Folder event History the...
# Instantiate a utility to handle IO #set($IOUtils = $ClassTool.newInstance("org.apache.commons.io.IOUtils")) # Instantiate a URL to the getInfo service of LogicalDOC #set($clazzUrl = $context.getClass().forName("java.net.URL")) #set($clazzString =...
Detection model automatically identifies the language of a document based on its textual content. This enables the system to classify documents by language and support language-specific processing workflows. The model is based on a pre-trained...
you can use the Automation to dynamically compose the content. [automation] AUTOMATION CONTEXT: SEND MAIL Variable Java Class Description sender User the user sending the email message document Document first attached document documents Document...
