Starlet-H uses extractive summarization techniques to select salient quotes from the input reviews and embeds them into the abstractive summary to exemplify, justify or provide evidence for the aggregate positive or negative opinions.
starlet-H assumes a limited number of aspects as input and needs a large amount of training data to learn the ordering of aspects for summary generation.