TY - CONF T1 - Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images T2 - International Natural Language Generation Conference (INLG2017) Y1 - 2017 A1 - Gonzalo Méndez A1 - Hervás, Raquel A1 - Bautista, Susana A1 - Adrián Rabadán A1 - Teresa Rodríguez-Ferreira AB - Describing people and characters can be very useful in different contexts, such as computational narrative or image description for the visually impaired. However, a review of the existing literature shows that the automatic generation of people descriptions has not received much attention. Our work focuses on the description of people in snapshots from a 3D environment. First, we have conducted a survey to identify the way in which people describe other people under different conditions. We have used the information extracted from this survey to design several Referring Expression Generation algorithms which produce similar results. We have evaluated these algorithms with users in order to identify which ones generate the best description for specific characters in different situations. The evaluation has shown that, in order to generate good descriptions, a combination of different algorithms has to be used depending on the features and situation of the person to be described. JF - International Natural Language Generation Conference (INLG2017) CY - Santiago de Compostela, Spain UR - https://www.aclweb.org/anthology/W17-3507 ER -