From Natural Language to KM Representations
نویسنده
چکیده
This working note sketches out, in a rather skeletal form, a model of language understanding using the knowledge representation language KM. In this model, KM “prototypes” encode stereotypical expectations about the world, and language understanding involves constructing a scene from prototypes which best matches (a possible interpretation of) the input text. As a starting point towards this, we describe a simplified version of this process where the task is just to find the best match between a single prototype and a possible interpretation of the input.
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