Expected Scientific-Technical and International Impact

This project focuses on cutting-edge theoretical research with several applied offshoots for NLP. By developing innovative methods, models, and
resources, we aim to transform NLP tasks and attract the interest of the NLP and AI research communities worldwide. When it comes to the expected scientific-technical or international impact, our proposal presents expected advancements in four key areas:

  1. Advancements in mathematical and computational modeling of text processing (interpretation and generation). We expect to surpass current neural models, based solely on statistical information, and complement them with quantum models that allow for modelling grammatical and compositional relationships in multidimensional vector spaces.
  2. Addressing complex linguistic phenomena. For instance, the knowledge, formal representation, and automatic processing of complex linguistic
    phenomena, such as anaphora, semantic ambiguity, or metaphors. Addressing these phenomena from a quantum paradigm will enable new models that take into account previously unconsidered aspects.
  3. Optimisation of algorithms for quantum computing, by adapting algorithms from NLP to quantum computing.
  4. Integration of advanced AI techniques into quantum models. Techniques such as RAG and LLMs are to be improved for tasks such as text simplification and automatic summarisation.

By bridging quantum information theory and NLP, this project will contribute to theoretical foundations and practical applications, reinforcing Spain and Europes position as a global leader in AI and quantum research. It will also act as a catalyst for interdisciplinary collaboration among computational linguists, physicists, and AI specialists.
To ensure the projects impact extends beyond academia, we will implement an engagement strategy targeting industry leaders, policymakers, and end users with actions like:
Webinar and online workshop organisation in collaboration with industry partners to showcase quantum-NLP advancements.
Participation in interdisciplinary forums, such as AI-focused summits or quantum computing conferences to foster collaborations with related fields.
This multifaceted approach aims to maximise the projects influence globally, ensuring its findings contribute meaningfully to both science and society at large.