Building and Refining Rhetorical-Semantic Relation Models
نویسندگان
چکیده
We report results of experiments which build and refine models of rhetoricalsemantic relations such as Cause and Contrast. We adopt the approach of Marcu and Echihabi (2002), using a small set of patterns to build relation models, and extend their work by refining the training and classification process using parameter optimization, topic segmentation and syntactic parsing. Using human-annotated and automatically-extracted test sets, we find that each of these techniques results in improved relation classification accuracy.
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