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We present a hybrid method to generate summaries of product and services reviews by combining natural language generation and salient sentence selection techniques. Our system, STARLET-H, receives as input textual reviews with associated rated topics, and produces as output a natural language document summarizing the opinions expressed in the reviews. STARLET-H operates as a hybrid abstractive/extractive summarizer: using extractive summarization techniques, it selects salient quotes from thedoi:10.3115/v1/w14-4408 dblp:conf/inlg/FabbrizioSG14 fatcat:l7gqxy3mjre3zkdyhalrzubod4