Abstract
This paper describes the Duluth systems that participated in Task 2 of SemEval-2012. These systems were unsupervised and relied on variations of the Gloss Vector measure found in the freely available software package WordNet::Similarity. This method was moderately successful for the Class-Inclusion, Similar, Contrast, and Non-Attribute categories of semantic relations, but mimicked a random baseline for the other six categories.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 6th International Workshop on Semantic Evaluation, SemEval 2012 |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 497-501 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781937284220 |
| State | Published - 2012 |
| Externally published | Yes |
| Event | 1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 - Montreal, Canada Duration: Jun 7 2012 → Jun 8 2012 |
Publication series
| Name | *SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics |
|---|---|
| Volume | 2 |
Other
| Other | 1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 6/7/12 → 6/8/12 |
Bibliographical note
Publisher Copyright:© 2012 Association for Computational Linguistics.
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