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Learning to Understand Entities in Text.

doctoral thesis by Eunsol Choi, Computer Science & Engineering, University of Washington, 2019
Place doctoral_thesis Q113668374
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Learning to Understand Entities in Text.

Summary

Learning to Understand Entities in Text. is a doctoral thesis[1].

Key Facts

  • Learning to Understand Entities in Text. authored Eunsol Choi[2].
  • Learning to Understand Entities in Text.'s instance of is recorded as doctoral thesis[3].
  • Learning to Understand Entities in Text.'s OCLC number is recorded as 1128883020[4].
  • Learning to Understand Entities in Text.'s language of work or name is recorded as English[5].
  • +2019-00-00T00:00:00Z marks the founding of Learning to Understand Entities in Text.[6].
  • Learning to Understand Entities in Text.'s work available at URL is recorded as http://hdl.handle.net/1773/44767[7].
  • Learning to Understand Entities in Text.'s number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+98'}[8].
  • Learning to Understand Entities in Text.'s Handle ID is recorded as 1773/44767[9].
  • Learning to Understand Entities in Text.'s title is recorded as Learning to Understand Entities in Text.[10].
  • Learning to Understand Entities in Text.'s thesis submitted to is recorded as University of Washington[11].
  • Learning to Understand Entities in Text.'s on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[12].
  • Learning to Understand Entities in Text.'s thesis committee member is recorded as Luke Zettlemoyer[13].
  • Learning to Understand Entities in Text.'s thesis committee member is recorded as Yejin Choi[14].

Body

Designation and Status

Learning to Understand Entities in Text.'s instance of is recorded as doctoral thesis[3].

History and Context

+2019-00-00T00:00:00Z marks the founding of Learning to Understand Entities in Text.[6].

References

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

Direct Wikidata claims

  1. [3] ↑ . WorldCat. Retrieved . wikidata.org.
  2. [2] ↑ . WorldCat. Retrieved . wikidata.org.
  3. [4] ↑ . WorldCat. Retrieved . wikidata.org.
  4. [5] ↑ . WorldCat. Retrieved . wikidata.org.
  5. [6] ↑ . WorldCat. Retrieved . wikidata.org.
  6. [7] ↑ . WorldCat. Retrieved . wikidata.org.
  7. [8] ↑ . WorldCat. Retrieved . wikidata.org.
  8. [9] ↑ . WorldCat. Retrieved . wikidata.org.
  9. [10] ↑ . WorldCat. Retrieved . wikidata.org.
  10. [11] ↑ . WorldCat. Retrieved . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . WorldCat. Retrieved . wikidata.org.
  13. [14] ↑ . WorldCat. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Learning to Understand Entities in Text.. Retrieved May 3, 2026, from https://4ort.xyz/entity/learning-to-understand-entities-in-text-
MLA “Learning to Understand Entities in Text..” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/learning-to-understand-entities-in-text-.
BibTeX @misc{4ortxyz_learning-to-understand-entities-in-text-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning to Understand Entities in Text.}}, year = {2026}, url = {https://4ort.xyz/entity/learning-to-understand-entities-in-text-}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning to Understand Entities in Text. — https://4ort.xyz/entity/learning-to-understand-entities-in-text- (retrieved 2026-05-03)

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