Discourse Level Factors for Sentence Deletion in Text Simplification

Understand

This paper presents a data-driven study focusing on analyzing and predicting sentence deletion -- a prevalent but understudied phenomenon in document simplification -- on a large English text simplification corpus.

• We inspect various document and discourse factors associated with sentence deletion, using a new manually annotated sentence alignment corpus we collected.
• We reveal that professional editors utilize different strategies to meet readability standards of elementary and middle schools.
• To predict whether a sentence will be deleted during simplification to a certain level, we harness automatically aligned data to train a classification model.