| Download | - View final version: Human-level performance on word analogy questions by latent relational analysis (PDF, 405 KiB)
|
|---|
| DOI | Resolve DOI: https://doi.org/10.4224/5763652 |
|---|
| Author | Search for: Turney, Peter1 |
|---|
| Affiliation | - National Research Council Canada. NRC Institute for Information Technology
|
|---|
| Format | Text, Technical Report |
|---|
| Physical description | 33 p. |
|---|
| 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. |
|---|
| Publication date | 2004 |
|---|
| Publisher | National Research Council Canada |
|---|
| Series | |
|---|
| Language | English |
|---|
| NRC number | NRCC 47422 |
|---|
| NPARC number | 5763652 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 9179349a-ad7e-4326-85d3-72dd85f95e6a |
|---|
| Record created | 2009-03-29 |
|---|
| Record modified | 2025-11-03 |
|---|
