mlsanityData to 7 Oct 2026

Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types

arXiv 1802.06842 ↗First posted 19 Feb 2018cs.CLcited by 17

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Abstract (arXiv)

We present a neural model for question generation from knowledge base triples in a "Zero-Shot" setup, that is generating questions for triples containing predicates, subject types or object types that were not seen at training time. Our model leverages triples occurrences in the natural language corpus in an encoder-decoder architecture, paired with an original part-of-speech copy action mechanism to generate questions. Benchmark and human evaluation show that our model sets a new state-of-the-art for zero-shot QG.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 3; 2023: 3; 2024: 4; 2025: 0; 2026: 1.

17 papers.

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  1. 2021Asking It All: Generating Contextualized Questions for any Semantic Rolecited by 22
  2. 2022Transformer-based Entity Typing in Knowledge Graphscited by 13
  3. 2021What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Datacited by 10
  4. 2021Towards Transparent Interactive Semantic Parsing via Step-by-Step Correctioncited by 9
  5. 2022AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQLcited by 8
  6. 2024How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answeringcited by 5
  7. 2024A Survey on Neural Question Generation: Methods, Applications, and Prospectscited by 5
  8. 2024Synthetic Context Generation for Question Generationcited by 4
  9. 2021A Single Example Can Improve Zero-Shot Data Generationcited by 2
  10. 2023Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorizationcited by 2
  11. 2023Adapting Knowledge for Few-shot Table-to-Text Generationcited by 2
  12. 2022Selective Token Generation for Few-shot Natural Language Generationcited by 1
5 more
  1. 2023KGConv, a Conversational Corpus grounded in Wikidatacited by 1
  2. 2024Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processingcited by 1
  3. 2021Calculating Question Similarity is Enough: A New Method for KBQA Taskscited by 0
  4. 2021How to Build Robust FAQ Chatbot with Controllable Question Generator?cited by 0
  5. 2026Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Modelscited by 0