Linguistic Affordances: Making Sense of Word Senses

In this position paper we want to focus the attention on the roles of word senses in standard Natural Language Understanding tasks. We first identify the main problems of having such a rigourous and inflexible way of discriminating among different meanings at word-level. In fact, in human cognition, we know the process of language understanding refers to a more shaded procedure. For this reason, we propose the concept of linguistic affordances, i.e., combinations of objects properties that are involved in specific actions and that help the comprehension of the whole scene being described. The idea is that similar verbs involving similar properties of the arguments may refer to comparable mental scenes. This architecture produces a converging framework where meaning becomes a distributed property between actions and objects, without having to differentiate among terms and relative word senses. We hope that this contribution will stimulate the debate about the actual effectiveness of current Word Sense Disambiguation systems towards more cognitive approaches able to go beyond word-level automatic understanding of natural language.