Luca Anselma


Content Selection for Explanation Requests in Customer-Care Domain
Luca Anselma | Mirko Di Lascio | Dario Mana | Alessandro Mazzei | Manuela Sanguinetti
2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence

This paper describes a content selection module for the generation of explanations in a dialogue system designed for customer care domain. First we describe the construction of a corpus of a dialogues containing explanation requests from customers to a virtual agent of a telco, and second we study and formalize the importance of a specific information content for the generated message. In particular, we adapt the notions of importance and relevance in the case of schematic knowledge bases.


Designing and testing the messages produced by a virtual dietitian
Luca Anselma | Alessandro Mazzei
Proceedings of the 11th International Conference on Natural Language Generation

This paper presents a project about the automatic generation of persuasive messages in the context of the diet management. In the first part of the paper we introduce the basic mechanisms related to data interpretation and content selection for a numerical data-to-text generation architecture. In the second part of the paper we discuss a number of factors influencing the design of the messages. In particular, we consider the design of the aggregation procedure. Finally, we present the results of a human-based evaluation concerning this design factor.

CheckYourMeal!: diet management with NLG
Luca Anselma | Simone Donetti | Alessandro Mazzei | Andrea Pirone
Proceedings of the Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG)