From Frequency to Meaning¶
Turney, P. D., & Pantel, P. (2010). From Frequency to Meaning: Vector Space Models of Semantics. Journal of Artificial Intelligence Research, 37, 141-188.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Vector Space
- Design and decision analysis: trade-space analysis representing alternatives as points in an objective space, with weighted combinations made explicit. Linguistics and cognitive science: distributional semantics treating meanings as vectors, with conceptual combination imagined as combination in a feature space.
This sourceDistributional semantics treating word meanings as vectors in a feature space.
Supported in partVerified against the work's full text
Turney and Pantel support distributional semantics representing meaning as vectors, but not the trade-space analysis sentence or conceptual combination as feature-space combination.
“the similarity of meaning often lead to vectors, matrices, and higher-order tensors”
- Design and decision analysis: trade-space analysis representing alternatives as points in an objective space, with weighted combinations made explicit. Linguistics and cognitive science: distributional semantics treating meanings as vectors, with conceptual combination imagined as combination in a feature space.
Verification¶
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Does it back the claim? Read against the text for 1 of 1 citation: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
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Registry ID ref:306ad31c3454 · see in the full table