The authors also discuss the evaluation metrics used to measure the quality of the generated summaries, focusing on the comprehension level of an average adult. They suggest using a combination of precision, recall, and fluency to evaluate the summaries, while avoiding overly simplistic or oversimplified language that can loss important information.
Overall, the article provides a systematic literature review of NLP techniques for taming long sentences in news articles, highlighting the challenges and proposing a novel approach that combines extractive and abstractive methods to create more informative and coherent summaries.
Computation and Language, Computer Science