Minors as miners: modelling and evaluating ontological and linguistic learning

摘要: Growing up is in large measure learning about the world and our social linguistic environment. We might call this data mining, although it far more multimodal immersive than most applications. This paper describes computational research into how children learn, with a particular focus on evaluation both supervised unsupervised paradigms. Conversely, we gain additional insight association mining by considering psycholinguistic experiments that quantify way human adults relate to variety of measures. Learning are not dealt isolation, but program formal application-based expounded exemplified show evaluate discovered patterns without gold standard. In context, some serious issues current techniques accuracy measures identified unbiased identified.