| Download | - View final version: Human-level performance on word analogy questions by latent relational analysis (PDF, 344 KiB)
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| DOI | Resolve DOI: https://doi.org/10.4224/5763652 |
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| Author | Search for: Turney, Peter1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Technical Report |
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| Physical description | 33 p. |
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| Abstract | This paper introduces Latent Relational Analysis (LRA), a method for measuring relational similarity. LRA has potential applications in many areas, including information extraction, word sense disambiguation, and information retrieval. |
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| Publication date | 2004 |
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| Publisher | National Research Council of Canada |
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| Series | |
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| Language | English |
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| NRC number | NRCC 47422 |
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| NPARC number | 5763652 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 9179349a-ad7e-4326-85d3-72dd85f95e6a |
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| Record created | 2009-03-29 |
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| Record modified | 2024-12-09 |
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