Output details
11 - Computer Science and Informatics
Manchester Metropolitan University
Article title
Benchmarking short text semantic similarity
Type
D - Journal article
Title of journal
International Journal of Intelligent Information and Database Systems
Article number
-
Volume number
4
Issue number
2
First page of article
103
ISSN of journal
1751-5866
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
<17>This paper is part of a coherent strategy to extend the work described in (JO1101) and our 2006 IEEE Transactions paper (doi: 10.1109/TKDE.2006.130) . This research strand is establishing increasing experimental rigour for the measurement of short text semantic similarity algorithms, including an ANOVA study of experimental methods influencing ratio scale properties of semantic similarity and maximising precision of human judgments. These are largely ignored as issues in prior work. Examples from the dataset were quoted by Diab at the 2012 DARPA STS workshop (March 2012, Columbia University, http://www.cs.columbia.edu/~weiwei/workshop/index.html).
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Computational Intelligence and Reasoning
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
