Abstract
This paper describes the use of different methods for semantic sim- ilarity calculation for predicting a specific type of textual coherence. We show that Random Indexing can be used to locate documents in a semantic space as well as terms, but not by straightforwardly summing term vectors. Using a mathematical translation of the semantic space, we are able to use Random Indexing to assess textual coherence as well as LSA, but with considerably lower computational overhead.
Cite
CITATION STYLE
Higgins, D., & Burstein, J. (2007). Sentence similarity measures for essay coherence Introduction : Text coherence in student essays. Proceedings of the 7th International Workshop on Computational Semantics IWCS, (January), 1–12. Retrieved from http://scholar.google.com/scholar?hl=en&q=Sentence+similarity+measure+for+essay+coherence&btnG=Search&as_sdt=2000&as_ylo=&as_vis=0#2
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