Human language users are capable of proficiently learning new constructions and using a language for everyday communication even if they have only acquired a basic linguistic inventory. This paper argues that such robustness can best be achieved through a constructional processing model in which grammatical structures may emerge spontaneously as a side effect of how […]
Proceedings of the 34th International Conference on Machine Learning, edited by:Doina Precup and Yee Whye Teh, 70, PMLR, International Convention Centre, Sydney, Australia, August, 2017. pp.1362–1371.
Bringing phenotyping to the farm: an evaluation of 3d reconstruction of plants in outdoor environement
Sampling Markov Models under Constraints: Complexity Results for Binary Equalities and Grammar Membership
Creative industries constantly strive for fame and popularity. Though highly desirable, popularity is not the only achievement artistic creations might ever acquire. Leaving a longstanding mark in the global production and influencing future works is an even more important achievement, usually acknowledged by experts and scholars. ‘Significant’ or ‘influential’ works are not always well known […]
The quest for information is one of the most common activity of human beings. Despite the the impressive progress of search engines, not to miss the needed piece of information could be still very tough, as well as to acquire specific competences and knowledge by shaping and following the proper learning paths. Indeed, the need […]