52 lines
1.5 KiB
Markdown
52 lines
1.5 KiB
Markdown
---
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title: Dries Huybens
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published: true
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taxonomy:
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category: [erasmus]
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tag: [nlp, ie, rag, medical]
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author: Daniel Hladek
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---
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ERASMUS Intern Summer 2026, 20 July - 30 August
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Topic:
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Multilingual Knowledge Graphs from medical data
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Goal:
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- Construct a knowledge graph from medical package inserts in multiple languages
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- Utilize the graph in an intelligent agent that recommends medication.
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Tasks:
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- Continue project of [Bogdan Paul Chis](/interns/bogdan_paul_chis)
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- Study repositories:
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- https://github.com/chis-facultate/erasmus-kosice
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- https://github.com/hladek/mul-me-kg
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- https://github.com/hkuds/lightrag
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- Learn intelligent agents and generative models - OpenAI API, Agent frameworks, RAG systems.
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- Learn about knowledge graphs and GraphRAG. Read several research papers.
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- Prepare a Python based workflow, use git code repository
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- Visualize the graph
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- Prepare an agent that utilizes the unstructured data and graph-data.
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- Evaluate the agent using DeepEval or RAGAS.
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- Write a report
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- Put all code to GIT
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Project tasks update:
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- Prepare a multilingual parallel corpus from OPUS data
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- Prepare dataset for visual language model evaluation from foto
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- Prepare dataset for visual language model evaluation from wikipedia
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- Prepare corpus of text and image data from pravda.sk
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Outupus:
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- multilingual corpus was analyzed with embedding models. Semantic overlap between languages is low, so multilngual parallel corpus will be small.
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- A [corpus](https://huggingface.co/datasets/driesaster/fotkyzadarmo_slovak) from FotkyZadarmo.sk
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