Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas

Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 12× · AI/ML
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Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas

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Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas is a scholarly article[1].

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  • Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. Retrieved May 24, 2026, from https://4ort.xyz/entity/cross-sentence-n-ary-relation-extraction-using-lower-arity-universal-schemas
MLA “Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cross-sentence-n-ary-relation-extraction-using-lower-arity-universal-schemas.
BibTeX @misc{4ortxyz_cross-sentence-n-ary-relation-extraction-using-lower-arity-universal-schemas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas}}, year = {2026}, url = {https://4ort.xyz/entity/cross-sentence-n-ary-relation-extraction-using-lower-arity-universal-schemas}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas — https://4ort.xyz/entity/cross-sentence-n-ary-relation-extraction-using-lower-arity-universal-schemas (retrieved 2026-05-24)

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