STS2013
Related Papers
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity
We present a system submitted in the Semantic Textual Similarity (STS) task at the Second Joint Conference on Lexical and Computa- tional Semantics (*SEM 2013). Given two short text fragments, …...
IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity
We present in this paper the systems we participated with in the Semantic Textual Similarity task at SEM 2013. The Semantic Textual Similarity Core task (STS) computes the degree of …...
iKernels-Core: Tree Kernel Learning for Textual Similarity
This paper describes the participation of iKer- nels system in the Semantic Textual Similar- ity (STS) shared task at *SEM 2013. Different from the majority of approaches, where a large …...
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
This paper describes the UNIBA participation in the Semantic Textual Similarity (STS) core task 2013. We exploited three different sys- tems for computing the similarity between two texts. A system …...