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Cross-Sentence <i>N</i>-ary Relation Extraction with Graph LSTMs

Research article (Transactions of the Association for Computational Linguistics, 2017) · cited 458× · AI/ML
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Cross-Sentence N-ary Relation Extraction with Graph LSTMs

Summary

Cross-Sentence N-ary Relation Extraction with Graph LSTMs is a scholarly article[1].

Key Facts

  • Cross-Sentence N-ary Relation Extraction with Graph LSTMs'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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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). Cross-Sentence <i>N</i>-ary Relation Extraction with Graph LSTMs. Retrieved May 24, 2026, from https://4ort.xyz/entity/cross-sentence-i-n-i-ary-relation-extraction-with-graph-lstms
MLA “Cross-Sentence <i>N</i>-ary Relation Extraction with Graph LSTMs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cross-sentence-i-n-i-ary-relation-extraction-with-graph-lstms.
BibTeX @misc{4ortxyz_cross-sentence-i-n-i-ary-relation-extraction-with-graph-lstms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cross-Sentence <i>N</i>-ary Relation Extraction with Graph LSTMs}}, year = {2026}, url = {https://4ort.xyz/entity/cross-sentence-i-n-i-ary-relation-extraction-with-graph-lstms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cross-Sentence <i>N</i>-ary Relation Extraction with Graph LSTMs — https://4ort.xyz/entity/cross-sentence-i-n-i-ary-relation-extraction-with-graph-lstms (retrieved 2026-05-24)

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