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.
Recently, authors in REF presented a self-sufficient metric for sentence ordering assessment based on text topic-comment structure of a text that requires only shallow parsing.
A Metric for Sentence Ordering Assessment Based on Topic-Comment Structure
SIGIR '17
Computer Science