Output details
11 - Computer Science and Informatics
Queen's University Belfast
Article title
Strudel: A corpus-based semantic model based on properties and types
Type
D - Journal article
Title of journal
Cognitive Science
Article number
-
Volume number
34
Issue number
2
First page of article
222
ISSN of journal
0364-0213
Year of publication
2010
Number of additional authors
3
Additional information
<22> This paper, published in the leading journal of the Cognitive Science Society, presents a novel method for extracting natural feature-based descriptions of everyday concepts from unrestricted text which has been harvested from the web. It has been influential in the field, as the first model to automatically provide rich property descriptions of the kinds that psychologists have long posited. The resultant model matched the performance of less expressive models on a range of cognitive modelling tasks. It is cited by leading groups in cognitive and computational semantics, including Cambridge, Colorado (Boulder), Edinburgh, and Texas (Austin).
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Knowledge and Data Engineering (KDE)
Citation count
13
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
