TecnoLing
TecnoLing Zaragoza 2025 – AI Forum for Companies, Focused on Natural Language Processing and Generative AI
Presentation
TecnoLing was born as a business showcase for SEPLN and, after the success of its recent editions, has established itself as the leading “technology showcase” in the sector. Its program combines:
What is TecnoLing?
As part of the 41st SEPLN Congress, the Technological Institute of Aragon is hosting TecnoLing 2025, the technology exhibition that brings together companies, R&D centers, and government agencies to discover the latest generative artificial intelligence and NLP solutions.
Over the course of one day, more than 25 exhibitors will present live demonstrations of AI technologies, pitch sessions on real-life use cases, and roundtable discussions on ethics, regulation, and business opportunities. A comprehensive B2B networking program will facilitate the creation of alliances and knowledge transfer.
With the support of the Aragonese AI ecosystem and the presence of the SEPLN research community, TecnoLing is consolidating its position as the essential event for driving linguistic and multilingual innovation. Join us in Zaragoza and be part of the future of intelligent language!
Target audience
When and where
TecnoLing 2025 will be held on September 24 at the Instituto Tecnológico de Aragón (ITA).
Agenda
Schedule
Session
Hall
08:30 – 09:00
Check-in
Reception
09:00 – 09:30
SEPLN / TecnoLing Inauguration
Auditorium
09:30 – 11:00
Session 1: Evaluation and Biases in NLP
Moderator: Estela Saquete Boro
Speakers:
Methods Towards Improving Safeness in Responses of a Spanish Suicide Information Chatbot – Pablo Ascorbe, Cesar Domínguez, Jónathan Heras, María Soledad Campos, Magdalena Pérez
Fine-grained Auxiliary Learning for Real-world Product Recommendation – Mario Almagro, Diego Ortego, David Jimenez-Cabello.
An Analysis of Gender Bias in Text-to-Image Models Using Neutral Prompts in Spanish – Victoria Muñoz-García, María Villalba-Osés, Juan Pablo Consuegra-Ayala.
Personality Assessment on Spanish and Basque Texts Using In-Context Learning Techniques – Aitzol Saizar Viaña, Maddalen Lopez de Lacalle, Xabier Saralegi.
Preserving Grammatical Gender when Debiasing Word Embeddings in Spanish – Aitana Morote Martínez, Juan Pablo Consuegra-Ayala, Elena Lloret
CHERISH: A Corpus for CHildren Emotion Recognition In SpeecH – Luz Gahona Castillejos, Delia Irazú Hernández Farias, Humberto Pérez-Espinosa
Auditorium
09:30 – 11:00
Auditorium
11:30 – 12:00
Inspire & Implement: Inspirational Pragmatism in Language AI
María Fernández Guajardo
Auditorium
12:30 – 13:15
Round Table: “Natural Language Processing and Artificial Intelligence: Strategic Keys for Science, Business, and Society”
Moderator: Rafael del Hoyo
Speakers:
Auditorium
13:15 – 14:00
Round Table: “Artificial Intelligence and Natural Language Processing at the Service of Smart Tourism”
Moderator: Paula Peña
Speakers:
Auditorium
14:00 – 15:00
Lunch / Networking
Hall
15:00 – 15:45
HitZ Chair AI / LT and companies
Auditorium
15:45 – 16:30
Round Table: “Language Models in Co-Official Languages: ALIA Project”
Moderator: Manuel González Bedía
Speakers:
Auditorium
16:30 – 16:45
Coffee / Networking
Hall
16:30 – 17:45
Elevator Pitch and Company Presentations: Tecnoling and Sponsors:
Dic + Hall
17:15 – 17:45
ITA Showroom and Visit to the Laboratories
Labs
17:45 – 18:00
Closing Ceremony:
Auditorium
19:00
Visit to the Patio de la Infanta Monument and Goya Collection.
Visit kindly offered by Ibercaja
Conditions of participation
These are the conditions for participation in TecnoLing 2025:
Registration for TecnoLing 2025
Contact information
For specific questions about TecnoLing 2025, please email us at sepln2025@ita.es.
Collaborate:
Finance:
This project is co-financed under the Retech Turismo-Spain Living Lab Agreement: 75% is co-financed by the Recovery and Resilience Facility, part of the “RECOVERY, TRANSFORMATION, AND RESILIENCE PLAN – FUNDED BY THE EUROPEAN UNION – NEXTGENERATIONEU.” The remainder is co-financed by funds from the Autonomous Community of Aragon.
Expenses allocated to MRR projects are funded at a rate of 100%.