An Interpretation Domain in Vector Space Semantics
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The recent expansion of research topics in semantics has brought attention to problems related to density in the interpretation domain because both discrete entities like individuals and dense ones like materials, time, space, and degree are needed for an interpretation. As a result, a great deal of research has advocated a sorted domain including both discrete and dense entities. Fox & Hackl (2006) challenge this position, arguing for a structure with only dense entities. Their analysis is based on linguistic evidence including focused sentences with only and degree questions. I argue for a sorted domain, showing that these two structures can be properly interpreted in the framework of Vector Space Semantics.
Abstract
The recent expansion of research topics in semantics has brought attention to problems related to density in the interpretation domain because both discrete entities like individuals and dense ones like materials, time, space, and degree are needed for an interpretation. As a result, a great deal of research has advocated a sorted domain including both discrete and dense entities. Fox & Hackl (2006) challenge this position, arguing for a structure with only dense entities. Their analysis is based on linguistic evidence including focused sentences with only and degree questions. I argue for a sorted domain, showing that these two structures can be properly interpreted in the framework of Vector Space Semantics.
참고문헌 (21)
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