Alberto Bugarín Diz

Also published as: Alberto Bugarin, Alberto Bugarín, Alberto Bugarín Diz, Alberto Bugarín-Diz


Dealing with hallucination and omission in neural Natural Language Generation: A use case on meteorology.
Javier González Corbelle | Alberto Bugarín-Diz | Jose Alonso-Moral | Juan Taboada
Proceedings of the 15th International Conference on Natural Language Generation

The Nós Project: Opening routes for the Galician language in the field of language technologies
Iria de-Dios-Flores | Carmen Magariños | Adina Ioana Vladu | John E. Ortega | José Ramom Pichel | Marcos García | Pablo Gamallo | Elisa Fernández Rei | Alberto Bugarín-Diz | Manuel González González | Senén Barro | Xosé Luis Regueira
Proceedings of the Workshop Towards Digital Language Equality within the 13th Language Resources and Evaluation Conference

The development of language technologies (LTs) such as machine translation, text analytics, and dialogue systems is essential in the current digital society, culture and economy. These LTs, widely supported in languages in high demand worldwide, such as English, are also necessary for smaller and less economically powerful languages, as they are a driving force in the democratization of the communities that use them due to their great social and cultural impact. As an example, dialogue systems allow us to communicate with machines in our own language; machine translation increases access to contents in different languages, thus facilitating intercultural relations; and text-to-speech and speech-to-text systems broaden different categories of users’ access to technology. In the case of Galician (co-official language, together with Spanish, in the autonomous region of Galicia, located in northwestern Spain), incorporating the language into state-of-the-art AI applications can not only significantly favor its prestige (a decisive factor in language normalization), but also guarantee citizens’ language rights, reduce social inequality, and narrow the digital divide. This is the main motivation behind the Nós Project (Proxecto Nós), which aims to have a significant contribution to the development of LTs in Galician (currently considered a low-resource language) by providing openly licensed resources, tools, and demonstrators in the area of intelligent technologies.


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A proof of concept on triangular test evaluation for Natural Language Generation
Javier González Corbelle | José María Alonso Moral | Alberto Bugarín Diz
Proceedings of the 1st Workshop on Evaluating NLG Evaluation

The evaluation of Natural Language Generation (NLG) systems has recently aroused much interest in the research community, since it should address several challenging aspects, such as readability of the generated texts, adequacy to the user within a particular context and moment and linguistic quality-related issues (e.g., correctness, coherence, understandability), among others. In this paper, we propose a novel technique for evaluating NLG systems that is inspired on the triangular test used in the field of sensory analysis. This technique allows us to compare two texts generated by different subjects and to i) determine whether statistically significant differences are detected between them when evaluated by humans and ii) quantify to what extent the number of evaluators plays an important role in the sensitivity of the results. As a proof of concept, we apply this evaluation technique in a real use case in the field of meteorology, showing the advantages and disadvantages of our proposal.

Explaining Bayesian Networks in Natural Language: State of the Art and Challenges
Conor Hennessy | Alberto Bugarín | Ehud Reiter
2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence

In order to increase trust in the usage of Bayesian Networks and to cement their role as a model which can aid in critical decision making, the challenge of explainability must be faced. Previous attempts at explaining Bayesian Networks have largely focused on graphical or visual aids. In this paper we aim to highlight the importance of a natural language approach to explanation and to discuss some of the previous and state of the art attempts of the textual explanation of Bayesian Networks. We outline several challenges that remain to be addressed in the generation and validation of natural language explanations of Bayesian Networks. This can serve as a reference for future work on natural language explanations of Bayesian Networks.


Adapting SimpleNLG to Galician language
Andrea Cascallar-Fuentes | Alejandro Ramos-Soto | Alberto Bugarín Diz
Proceedings of the 11th International Conference on Natural Language Generation

In this paper, we describe SimpleNLG-GL, an adaptation of the linguistic realisation SimpleNLG library for the Galician language. This implementation is derived from SimpleNLG-ES, the English-Spanish version of this library. It has been tested using a battery of examples which covers the most common rules for Galician.

Supporting Content Design with an Eye Tracker: The Case of Weather-based Recommendations
Alejandro Catala | Jose M. Alonso | Alberto Bugarin
Proceedings of the Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG)


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Proceedings of the 10th International Conference on Natural Language Generation
Jose M. Alonso | Alberto Bugarín | Ehud Reiter
Proceedings of the 10th International Conference on Natural Language Generation

Adapting SimpleNLG to Spanish
Alejandro Ramos-Soto | Julio Janeiro-Gallardo | Alberto Bugarín Diz
Proceedings of the 10th International Conference on Natural Language Generation

We describe SimpleNLG-ES, an adaptation of the SimpleNLG realization library for the Spanish language. Our implementation is based on the bilingual English-French SimpleNLG-EnFr adaptation. The library has been tested using a battery of examples that ensure that the most common syntax, morphology and orthography rules for Spanish are met. The library is currently being used in three different projects for the development of data-to-text systems in the meteorological, statistical data information, and business intelligence application domains.