Dia Trambitas is a computer scientist with a rich background in Natural Language Processing. She has a Ph.D. in Semantic Web from the University of Grenoble, France, where she worked on ways of describing spatial and temporal data using OWL ontologies and reasoning based on semantic annotations. She then changed her interest to text processing and data extraction from unstructured documents, a subject she has been working on for the last 10 years. She has a rich experience working with different annotation tools and leading document classification and NER extraction projects in verticals such as Finance, Investment, Banking, and Healthcare.
Classifying PDF documents using text-based classification models is a powerful capability Generative AI Lab provides. Users can now pre-annotate and classify images and PDF documents with over 1500 pre-trained models...
In Part 1 - Test Suites and Part 2- Generating Tests of this article, we presented how Generative AI Lab supports comprehensive functionality, enabling teams of domain experts to train,...
As presented in Part 1 - Test Suites of this article, Generative AI Lab supports comprehensive functionality, enabling teams of domain experts to train, test, and refine custom language models...
Although there is significant discussion about the importance of training AI models that are safe, robust, and fair, data scientists have access to very few tools to achieve these goals....
The NLP Tools feature is a new addition to the Medical Chatbot, providing specialized capabilities for processing medical texts through Natural Language Processing (NLP). This feature allows users to access...
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