Abstract
Semantic feature norms, originally utilized in the field of psycholinguistics as a tool for studying human semantic representation and computation, have recently attracted the attention of some NLP/IR researchers who wish to improve their task performances. However, currently available semantic feature norms are, by nature, not well-structured, making them difficult to integrate into existing resources of various kinds. In this paper, by examining an actual set of semantic feature norms, we investigate which types of semantic features should be migrated into Linked Data in Linguistics (LDL) and how the migration could be done.
| Original language | English |
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| Pages | 70-75 |
| Number of pages | 6 |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2nd Workshop on Linked Data in Linguistics: Representing and Linking Lexicons, Terminologies and other Language Data, LDL 2013 - Pisa, Italy Duration: 2013 Sept 23 → … |
Conference
| Conference | 2nd Workshop on Linked Data in Linguistics: Representing and Linking Lexicons, Terminologies and other Language Data, LDL 2013 |
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| Country/Territory | Italy |
| City | Pisa |
| Period | 13/9/23 → … |
ASJC Scopus subject areas
- Language and Linguistics
- Computer Science Applications
- Linguistics and Language