Measuring Verb Similarity
| dc.contributor.author | Resnik, Philip | en_US |
| dc.contributor.author | Diab, Mona | en_US |
| dc.date.accessioned | 2004-05-31T23:04:49Z | |
| dc.date.available | 2004-05-31T23:04:49Z | |
| dc.date.created | 2000-06 | en_US |
| dc.date.issued | 2000-06-21 | en_US |
| dc.description.abstract | The way we model semantic similarity is closely tied to our understanding of linguistic representations. We present several models of semantic similarity, based on differing representational assumptions, and investigate their properties via comparison with human ratings of verb similarity. The results offer insight into the bases for human similarity judgments and provide a testbed for further investigation of the interactions among syn tactic properties, semantic structure, and semantic con tent. (Also cross-referenced as UMIACS-TR-2000-40, LAMP-TR-047) | en_US |
| dc.format.extent | 133919 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.uri | http://hdl.handle.net/1903/1080 | |
| dc.language.iso | en_US | |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
| dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
| dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
| dc.relation.ispartofseries | UM Computer Science Department; CS-TR-4149 | en_US |
| dc.relation.ispartofseries | UMIACS; UMIACS-TR-2000-40 | en_US |
| dc.relation.ispartofseries | LAMP-TR-047 | en_US |
| dc.title | Measuring Verb Similarity | |
| dc.type | Technical Report | en_US |