Distributional semantics obtains representations of the meaning of words by processing thousands of texts and extracting generalizations using computational algorithms. Despite the popularity of ...

Accumulating behavioral and neural evidence indicates that semantic representation of words is distributed across multiple neural subsystems, each representing a particular dimension of semantic ...

Our goal is richer and more accurate representations of utterances in English, Chinese, Hindi/Urdu, and Arabic. Our principle approach involves the application of supervised machine learning to data ...