Corpus ID: 4644547

Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings

@article{Azunre2018AbstractiveTD,
  title={Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings},
  author={P. Azunre and C. Corcoran and David Sullivan and Garrett Honke and Rebecca Ruppel and S. Verma and J. Morgan},
  journal={ArXiv},
  year={2018},
  volume={abs/1804.01503}
}
  • P. Azunre, C. Corcoran, +4 authors J. Morgan
  • Published 2018
  • Computer Science
  • ArXiv
  • This paper describes an abstractive summarization method for tabular data which employs a knowledge base semantic embedding to generate the summary. Assuming the dataset contains descriptive text in headers, columns and/or some augmenting metadata, the system employs the embedding to recommend a subject/type for each text segment. Recommendations are aggregated into a small collection of super types considered to be descriptive of the dataset by exploiting the hierarchy of types in a pre… CONTINUE READING
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