Lazaridou, AngelikiPham, Nghia TheBaroni, Marco2020-12-102020-12-102016Lazaridou A, The Pham N, Baroni M. "The red one!": on learning to refer to things based on discriminative properties. In: Erk K, Smith NA, editors. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers); 2016 Aug 7-12; Berlin, Germany. Stroudsburg (PA): Association for Computational Linguistics; 2016. p. 213-8. DOI: 10.18653/v1/P16-2035http://hdl.handle.net/10230/45964Comunicació presentada a: 54th Annual Meeting of the Association for Computational Linguistics celebrat del 7 al 12 d'agost de 2016 a Berlín, Alemanya.As a first step towards agents learning to communicate about their visual environment, we propose a system that, given visual representations of a referent (CAT) and a context (SOFA), identifies their discriminative attributes, i.e., properties that distinguish them (has_tail). Moreover, although supervision is only provided in terms of discriminativeness of attributes for pairs, the model learns to assign plausible attributes to specific objects (SOFA-has_cushion). Finally, we present a preliminary experiment confirming the referential success of the predicted discriminative attributes.application/pdfeng© ACL, Creative Commons Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.18653/v1/P16-2035info:eu-repo/semantics/openAccess