Shapeshifter and the impact of representation in classification

Anonymous

Abstract: This work explores the representation format of text during the classification process. We defined eight types of representations using graphs to study the impact of the representation in a model. We build the graphs based on the dependency tree and input them into the UGformer to classify the documents. As a result, we observed that the best result is always at least two percentage points higher than the worst result.

Paper Type: long