Output details
11 - Computer Science and Informatics
Manchester Metropolitan University
Article title
A comparative study of two short text semantic similarity measures
Type
D - Journal article
Title of journal
Agent and Multi-Agent Systems: Technologies and Applications. Lecture Notes in Computer Science.
Article number
-
Volume number
4953
Issue number
-
First page of article
172
ISSN of journal
0302-9743
Year of publication
2008
URL
-
Number of additional authors
3
Additional information
<17>This paper was produced in response to requests for an elaboration of the evaluation methodology created for an earlier, highly cited, IEEE Transactions paper (doi: 10.1109/TKDE.2006.130). Drawing on the best experimental practices from word similarity, it was the only methodology and dataset specifically designed for sentence length semantic similarity until 2012. It was recently described as “the ideal dataset for semantic similarity” (Guo and Diab, 50th Annual Meeting of the Association for Computational Linguistics, 2012).
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Computational Intelligence and Reasoning
Citation count
7
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
