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Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples

arXiv 1711.00155 ↗First posted 1 Nov 2017cs.CLcited by 13

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Abstract (arXiv)

Most people do not interact with Semantic Web data directly. Unless they have the expertise to understand the underlying technology, they need textual or visual interfaces to help them make sense of it. We explore the problem of generating natural language summaries for Semantic Web data. This is non-trivial, especially in an open-domain context. To address this problem, we explore the use of neural networks. Our system encodes the information from a set of triples into a vector of fixed dimensionality and generates a textual summary by conditioning the output on the encoded vector. We train and evaluate our models on two corpora of loosely aligned Wikipedia snippets and DBpedia and Wikidata triples with promising results.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Nov 2017.

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Citing papers per year: 2021: 3; 2022: 6; 2023: 1; 2024: 1; 2025: 1; 2026: 1.

13 papers.

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  1. 2021Structural Adapters in Pretrained Language Models for AMR-to-text Generationcited by 48
  2. 2021Does Pretraining for Summarization Require Knowledge Transfer?cited by 30
  3. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  4. 2022Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographiescited by 7
  5. 2022WDV: A Broad Data Verbalisation Dataset Built from Wikidatacited by 4
  6. 2022Descartes: Generating Short Descriptions of Wikipedia Articlescited by 4
  7. 2021A Single Example Can Improve Zero-Shot Data Generationcited by 2
  8. 2022XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languagescited by 1
  9. 2023XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languagescited by 1
  10. 2024Mitigating Cognitive Biases in Multi-Criteria Crowd Assessmentcited by 1
  11. 2025Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language modelscited by 1
  12. 2022Mapping Process for the Task: Wikidata Statements to Text as Wikipedia Sentencescited by 0
1 more
  1. 2026Cross-lingual Biography Enrichment via Claim Extraction and Alignmentcited by 0