Ambiguity and Incomplete Information in Categorical Models of Language
We investigate notions of ambiguity and partial information in categorical distributional models of natural language. Probabilistic ambiguity has previously been studied using Selinger's CPM construction. This construction works well for models built upon vector spaces, as has been shown in qua...
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| Format: | Article |
| Language: | English |
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Open Publishing Association
2017-01-01
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| Series: | Electronic Proceedings in Theoretical Computer Science |
| Online Access: | http://arxiv.org/pdf/1701.00660v1 |