Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)
0202 electrical engineering, electronic engineering, information engineering
02 engineering and technology
DOI:
10.24963/ijcai.2020/711
Publication Date:
2020-07-08T08:12:10Z
AUTHORS (4)
ABSTRACT
We investigate the problem of generating natural language summaries from knowledge base triples. Our approach is based on a pointer-generator network, which, in addition to generating regular words from a fixed target vocabulary, is able to verbalise triples in several ways. We undertake an automatic and a human evaluation on single and open-domain summaries generation tasks. Both show that our approach significantly outperforms other data-driven baselines.
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