Point at the Triple - Generation of Text Summaries from Knowledge Base Triples (Extended Abstract).

We investigate the problem of generating natural language summaries from knowledge base triples. Our approach is based on a pointer-generator net- work, which, in addition to generating regular words from a fixed target vocabulary, is able to ver- balise triples in several ways. We undertake an au- tomatic and a human evaluation on single and open- domain summaries generation tasks. Both show that our approach significantly outperforms other data-driven baselines.