Paper: ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements

ACL ID S13-1017
Title ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper reports our submissions to the Semantic Textual Similarity (STS) task in ?SEM Shared Task 2013. We submitted three Support Vector Regression (SVR) systems in core task, using 6 types of similarity mea- sures, i.e., string similarity, number similar- ity, knowledge-based similarity, corpus-based similarity, syntactic dependency similarity and machine translation similarity. Our third sys- tem with different training data and different feature sets for each test data set performs the best and ranks 35 out of 90 runs. We also sub- mitted two systems in typed task using string based measure and Named Entity based mea- sure. Our best system ranks 5 out of 15 runs.