Abstractive Summarization of Product Reviews Using Discourse Structure

• DOI: 10.3115/v1/d14-1168
• Publication Date: 2015-06-17T07:07:54Z
• Authors: Shima Gerani; Yashar Mehdad; Giuseppe Carenini; Raymond T. Ng; Bita Nejat
• Keywords: 2. Zero hunger; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

We propose a novel abstractive summarization system for product reviews by taking advantage of their discourse structure.First, we apply parser to each review and obtain tree representation every review.We then modify the trees such that leaf node only contains aspect words.Second, aggregate generate graph.We select subgraph representing most important aspects rhetorical relations between them using PageRank algorithm, transform selected into an tree.Finally, natural language summary applying template-based NLG framework.Quantitative qualitative analysis results, based on two user studies, show our approach significantly outperforms extractive baselines.