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End-to-End Negation Resolution as Graph Parsing

Research article (Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020) · cited 13× · AI/ML
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End-to-End Negation Resolution as Graph Parsing

Summary

End-to-End Negation Resolution as Graph Parsing is a scholarly article[1].

Key Facts

  • End-to-End Negation Resolution as Graph Parsing's instance of is recorded as scholarly article[2].

Related Entities

Marco Kuhlmann

References

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

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). End-to-End Negation Resolution as Graph Parsing. Retrieved May 24, 2026, from https://4ort.xyz/entity/end-to-end-negation-resolution-as-graph-parsing
MLA “End-to-End Negation Resolution as Graph Parsing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/end-to-end-negation-resolution-as-graph-parsing.
BibTeX @misc{4ortxyz_end-to-end-negation-resolution-as-graph-parsing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{End-to-End Negation Resolution as Graph Parsing}}, year = {2026}, url = {https://4ort.xyz/entity/end-to-end-negation-resolution-as-graph-parsing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): End-to-End Negation Resolution as Graph Parsing — https://4ort.xyz/entity/end-to-end-negation-resolution-as-graph-parsing (retrieved 2026-05-24)

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