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.

  • Extraction

    Keywords, Summarisation, Text to Knowledge Graph

  • Generation

    Synthetic Data, Style Transfer, Retriever Augmentation (RAG)

  • Matching

    Categorisation, Concept Matching

  • Analysis

    Bias Detection & Mitigation, Sentiment, LLM Evaluation

  • Interaction

    Chatbots, Decision Support, Smart Search

Meet our Experts

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.