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Content by Ph.D. Dia Trambitas

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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.

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NLP Lab 5.7 marks a significant milestone in the realm of natural language processing with the introduction of advanced Relation Extraction (RE) model training features. In this release, users will...

NLP Lab 5.7 marks a significant update in the management of images containing text and scanned PDF documents with enhanced support for Visual OCR Pipelines. The Visual OCR Pipelines significantly...

NLP Lab 5.6 comes with a "Compact View" of tasks very handy for short text classification. In today's fast-paced digital environment, enhancing productivity and efficiency in NLP projects is more...

NLP Lab 5.6 introduces a series of technical enhancements aimed at refining the data annotation and export processes. This blog post provides a detailed overview of the new functionalities, focusing...

NLP Lab 5.5 comes with support for FREE rule-based NER annotation, handy for cases where context can be ignored in pre-annotation scenarios (e.g. identification of email addresses, telephone numbers, list...
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