Q136222467

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Q136222467

Summary

Q136222467 is a conference paper[1].

Key Facts

  • Q136222467 authored Paolo Torroni[2].
  • Q136222467 authored Andrea Zugarini[3].
  • Q136222467's instance of is recorded as conference paper[4].
  • Q136222467's page is recorded as 66-80[5].
  • Q136222467's language of work or name is recorded as English[6].
  • Q136222467 was published on +2025-01-01T00:00:00Z[7].
  • Q136222467 was released on +2025-05-00T00:00:00Z[8].
  • Q136222467's official website is recorded as https://aclanthology.org/2025.knowledgenlp-1.5/[9].
  • Q136222467's main subject is large language model[10].
  • Q136222467's main subject is query generation[11].
  • Q136222467's main subject is natural language to SPARQL conversion[12].
  • Q136222467's work available at URL is recorded as https://aclanthology.org/2025.knowledgenlp-1.5.pdf[13].
  • Q136222467's number of pages is recorded as {'unit': '1', 'amount': '+15'}[14].
  • Q136222467's published in is recorded as Q136309141[15].
  • Q136222467's title is recorded as Investigating Large Language Models for Text-to-SPARQL Generation[16].
  • Q136222467's author name string is recorded as Jacopo D’Abramo[17].
  • Q136222467's cites work is recorded as Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering[18].
  • Q136222467's cites work is recorded as Modern Baselines for SPARQL Semantic Parsing[19].
  • Q136222467's cites work is recorded as Freebase: a collaboratively created graph database for structuring human knowledge[20].
  • Q136222467's cites work is recorded as Language Models are Few-Shot Learners[21].
  • Q136222467's cites work is recorded as Q136309234[22].
  • Q136222467's cites work is recorded as Evaluating Large Language Models Trained on Code[23].
  • Q136222467's cites work is recorded as Q136358412[24].
  • Q136222467's cites work is recorded as Binding Language Models in Symbolic Languages[25].
  • Q136222467's cites work is recorded as Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval[26].

Body

Definition and Type

Q136222467's instance of is recorded as conference paper[4].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [4] . Q5188229. Retrieved . wikidata.org.
  2. [2] . wikidata.org.
  3. [3] . Q5188229. Retrieved . wikidata.org.
  4. [5] . Q5188229. Retrieved . wikidata.org.
  5. [6] . wikidata.org.
  6. [7] . Q5188229. Retrieved . wikidata.org.
  7. [8] . wikidata.org.
  8. [9] . wikidata.org.
  9. [10] . wikidata.org.
  10. [11] . wikidata.org.
  11. [12] . wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . wikidata.org.
  14. [15] . wikidata.org.
  15. [16] . Q5188229. Retrieved . wikidata.org.
  16. [17] . Q5188229. Retrieved . wikidata.org.
  17. [18] . wikidata.org.
  18. [19] . wikidata.org.
  19. [20] . wikidata.org.
  20. [21] . wikidata.org.
  21. [22] . wikidata.org.
  22. [23] . wikidata.org.
  23. [24] . wikidata.org.
  24. [25] . wikidata.org.
  25. [26] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Q136222467. Retrieved May 7, 2026, from https://4ort.xyz/entity/q136222467
MLA “Q136222467.” 4ort.xyz Knowledge Graph, 4ort.xyz, 7 May. 2026, https://4ort.xyz/entity/q136222467.
BibTeX @misc{4ortxyz_q136222467_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Q136222467}}, year = {2026}, url = {https://4ort.xyz/entity/q136222467}, note = {Accessed: 2026-05-07}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Q136222467 — https://4ort.xyz/entity/q136222467 (retrieved 2026-05-07)

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