Introduction | 4 describe previous and our models for syntactic and semantic similarity , respectively, Sec. |
Related work | as a direct object is in fact a strong characterization for semantic similarity , as all the nouns m similar to n tend to collocate with the same verbs. |
Related work | By inducing geometrical notions of vectors and norms through corpus analysis, they provide a topological definition of semantic similarity , i.e., distance in a space. |
Structural Similarity Functions | 3.2 Tree Kernels driven by Semantic Similarity To our knowledge, two main types of tree kernels exploit lexical similarity: the syntactic semantic tree kernel defined in (Bloehdom and Moschitti, 2007a) applied to constituency trees and the smoothed partial tree kernels (SPTKs) defined in (Croce et al., 2011), which generalizes the former. |
The Summarization Framework | Similarity to Question: Semantic similarity to the question and question context. |
The Summarization Framework | We compute the semantic similarity (Simpson and Crowe, 2005) between sentences or sub ques- |
The Summarization Framework | 2We use the semantic similarity of Equation 2 for all our similarity measurement in this paper. |