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ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 11× · AI/ML
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ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

Summary

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select is a scholarly article[1].

Key Facts

  • ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. Retrieved May 24, 2026, from https://4ort.xyz/entity/resel-n-ary-relation-extraction-from-scientific-text-and-tables-by-learning-to-retrieve-and-select
MLA “ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resel-n-ary-relation-extraction-from-scientific-text-and-tables-by-learning-to-retrieve-and-select.
BibTeX @misc{4ortxyz_resel-n-ary-relation-extraction-from-scientific-text-and-tables-by-learning-to-retrieve-and-select_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select}}, year = {2026}, url = {https://4ort.xyz/entity/resel-n-ary-relation-extraction-from-scientific-text-and-tables-by-learning-to-retrieve-and-select}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select — https://4ort.xyz/entity/resel-n-ary-relation-extraction-from-scientific-text-and-tables-by-learning-to-retrieve-and-select (retrieved 2026-05-24)

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