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Clickbait Spoiling via Question Answering and Passage Retrieval

Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 29× · AI/ML
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Clickbait Spoiling via Question Answering and Passage Retrieval

Summary

Clickbait Spoiling via Question Answering and Passage Retrieval is a scholarly article[1].

Key Facts

  • Clickbait Spoiling via Question Answering and Passage Retrieval's instance of is recorded as scholarly article[2].

Related Entities

Martin Potthast

References

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Direct Wikidata claims

  1. [2] ↑ . 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). Clickbait Spoiling via Question Answering and Passage Retrieval. Retrieved May 24, 2026, from https://4ort.xyz/entity/clickbait-spoiling-via-question-answering-and-passage-retrieval
MLA “Clickbait Spoiling via Question Answering and Passage Retrieval.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clickbait-spoiling-via-question-answering-and-passage-retrieval.
BibTeX @misc{4ortxyz_clickbait-spoiling-via-question-answering-and-passage-retrieval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clickbait Spoiling via Question Answering and Passage Retrieval}}, year = {2026}, url = {https://4ort.xyz/entity/clickbait-spoiling-via-question-answering-and-passage-retrieval}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Clickbait Spoiling via Question Answering and Passage Retrieval — https://4ort.xyz/entity/clickbait-spoiling-via-question-answering-and-passage-retrieval (retrieved 2026-05-24)

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