Abstract

We present a technique called event mapping that allows to project text representations into event lists , produce an event table , and derive quantitative conclusions to compare the text representations. The main application of the technique is the case where two classes of text representations have been collected in two di ff erent settings (e.g., as annotations in two di ff erent formal frameworks) and we can compare the two classes with respect to their systematic di ff erences in the event table. We illustrate how the technique works by applying it to data collected in two experiments (one using annotations in Vladimir Propp’s framework, the other using natural language summaries).

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