Teaching natural language to computers
It addresses the problem of understanding and improving natural language processing for AI and human-computer interaction, but appears incremental as it focuses on fine-tuning existing questions rather than introducing new methods.
This paper investigates the modalities involved in language-like applications for computers and programmers, aiming to refine questions to better account for context, self-awareness, and embodiment, but does not present specific results or concrete numbers.
"Natural Language," whether spoken and attended to by humans, or processed and generated by computers, requires networked structures that reflect creative processes in semantic, syntactic, phonetic, linguistic, social, emotional, and cultural modules. Being able to produce novel and useful behavior following repeated practice gets to the root of both artificial intelligence and human language. This paper investigates the modalities involved in language-like applications that computers -- and programmers -- engage with, and aims to fine tune the questions we ask to better account for context, self-awareness, and embodiment.