SemEval 2012

Many problems in natural language process- ing can be viewed as variations of the task of measuring the semantic textual similarity be- tween short texts. However, many systems that address …...

This paper presents a novel approach for building adaptive similarity functions based on cardinality us- ing machine learning. Unlike current approaches that build feature sets using similarity scores, we have …...

This paper describes the participation of UNED NLP group in the SEMEVAL 2012 Se- mantic Textual Similarity task. Our contribu- tion consists of an unsupervised method, Het- erogeneity Based Ranking …...

This paper presents the systems that we par- ticipated with in the Semantic Text Similar- ity task at SEMEVAL 2012. Based on prior research in semantic similarity and related- ness, …...

In this paper we examine language mod- eling for text simplification. Unlike some text-to-text translation tasks, text simplifi- cation is a monolingual translation task al- lowing for text in both …...

Soft cardinality has been shown to be a very strong text-overlapping baseline for the task of measuring semantic textual similarity (STS), obtaining 3rd place in SemEval-2012. At *SEM-2013 shared task, …...