Best Participating System in SemEval-2012 STS Task
2012/04/27

The UKP system performed best in the Semantic Textual Similarity (STS) task at SemEval-2012 in two out of three metrics.
The UKP system participated in the pilot at the workshop series on Semantic Textual Similarity (STS) task, which will be associated with the new Semantic Evaluation (SemEval-2012), and co-located with *SEM, First Joint Conference on Lexical and Computational Semantics, Montreal, Canada. The system uses a simple log-linear regression model, trained on the training data, to combine multiple text similarity measures of varying complexity. Our system performed best in two out of three metrics. NAACL
For details, please refer to the corresponding paper by Daniel Bär, Chris Biemann, Iryna Gurevych, and Torsten Zesch: “UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures”.
