Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67188
Title: Evalution-man 2.0 : expand the evaluation dataset for vector space models
Authors: Liu, H
Huang, CR 
Issue Date: 2016
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2016, v. 10085, p. 261-268 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: We introduce EVALution 2.0, a simplified Mandarin dataset for the evaluation of Vector Space Models. We take a psycholinguistics-based methodology through the use of a verbal association task, which differs from previous datasets that use corpus and ontology to construct word relation pairs. Semantic neighbors were created for 100 target words and surprisingly, to which participants produced 1129 word relation pairs. In a separate agreement-rating task, only 62 pairs showed were rejected. The methodology has proven to be a way to expand the existing resources quickly while maintaining a high level of quality.
Description: 17th Chinese Lexical Semantics Workshop, CLSW 2016, Singapore, 20-22 May 2016
URI: http://hdl.handle.net/10397/67188
ISBN: 9783319495071
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-49508-8_25
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