NLP, short for Natural Language Processing, tackles challenges in the field of
computer science and artificial intelligence that deal with natural language. For humans, natural
language in spoken and written form is taught at an early age, and we have an intuitive grasp on
complex tasks such categorisation and translation. However, while computers support us in increasingly
more ways, the flexibility and complexity of natural language still poses many challenges.
As the TNO NLP expert group, we study and utilise techniques such as Large Language Models (LLMs)
and Sentence Transformers. These techniques can be used for several NLP tasks such as
Extraction, Generation, Matching, Analysis, and Interaction.
Within TNO, we are part of the Data
Science department, and work together with our AI portfolio teams (Communicative
AI
and AI
Based Analysis & Decisions) to integrate our technical solutions within industry.
For more information on TNO's AI program, see the Appl.AI page.
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Extraction
Keywords, Summarisation, Text to Knowledge Graph
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Generation
Synthetic Data, Style Transfer, Retriever Augmentation (RAG)
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Matching
Categorisation, Concept Matching
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Analysis
Bias Detection & Mitigation, Sentiment, LLM Evaluation
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Interaction
Chatbots, Decision Support, Smart Search
Meet our Experts
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Roos Bakker
• Knowledge Graph Extraction
• Information Extraction
• Text Classification -
Dominique Blok
• LLMs
• Bias, Privacy and Responsible AI
• Methodology and Evaluation -
Maaike de Boer
• Knowledge Graph Extraction
• Information Retrieval
• Methodology and Evaluation -
Daan Di Scala
• Hybrid AI
• Knowledge Graph Extraction
• Concept Matching -
Romy van Drie
• Responsible AI
• LLM Evaluation
• AI for Accessibility -
Simon van de Fliert
• Building LLM Systems
• RAGs
• LLM Benchmarking -
Erik de Graaf
• Building LLMs
• Engineering AI systems
• Agentic AI systems -
Eliza Hobo
• LLM Evaluation
• Bias Detection
• AI for Accessibility -
Gabriel Hoogerwerf
• LLM-apps Security
• Building RAGs
• Sentence Embeddings -
Saskia Lensink
• Automatic Speech Recognition
• LLMs
• Legal Framework Compliance -
Jesse van Oort
• AI Evaluation
• Green Software
• Full Stack Development -
Quirine Smit
• Hybrid AI
• Knowledge Graphs
• LLMs -
Daan Vos
• LLMs
• Communicative AI
• Agentic AI systems
Our Tools & Demos
Projects Involving NLP
Recent Publications
New! Bakker, R., Di Scala, D., & de Boer, M. (2024) From Text to Knowledge Graph: Comparing Relation Extraction Methods in a Practical Context. In First International Workshop on Generative Neuro-Symbolic AI, co-located with ESWC.New! Ziegfeld, L., Di Scala, D. L., & Cremers, A. H. (2024). The Effect of Preference Elicitation Methods on the User Experience in Conversational Recommender Systems. Computer Speech & Language, 101696.
New! Veldhuis, G. A., Blok, D., de Boer, M. H., Kalkman, G. J., Bakker, R. M., & van Waas, R. P. (2024). From text to model: Leveraging natural language processing for system dynamics model development. System Dynamics Review, e1780.
