A Metric for Sentence Ordering Assessment Based on Topic-Comment Structure

Abstract

Sentence ordering (SO) is a key component of verbal ability. It is also crucial for automatic text generation. While numerous researchers developed various methods to automatically evaluate the informativeness of the produced contents, the evaluation of readability is usually performed manually. In contrast to that, we present a selfsu cient metric for SO assessment based on text topic-comment structure. We show that this metric has high accuracy.

Text Simplification for Scientific Information Access

“…[6] computed average normalized number of words in valid coherent passages without syntactical errors, unresolved anaphora, and redundant information. Several researches argue also the importance of sentence ordering for text understanding [5,15].…”