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DocTime: A Document-level Temporal Dependency Graph Parser

Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022) · cited 10× · AI/ML
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scholarly article[2]

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Authored by 6
Dinesh Manocha, Franck Dernoncourt, Jiuxiang Gu, Quan Tran, Verena Kaynig-Fittkau, Vlad I. Morariu
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Dinesh Manocha, Franck Dernoncourt, Jiuxiang Gu, Quan Tran, Verena Kaynig-Fittkau, Vlad I. Morariu
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DocTime: A Document-level Temporal Dependency Graph Parser is a scholarly article[1].

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Dinesh Manocha

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  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). DocTime: A Document-level Temporal Dependency Graph Parser. Retrieved May 24, 2026, from https://4ort.xyz/entity/doctime-a-document-level-temporal-dependency-graph-parser
MLA “DocTime: A Document-level Temporal Dependency Graph Parser.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/doctime-a-document-level-temporal-dependency-graph-parser.
BibTeX @misc{4ortxyz_doctime-a-document-level-temporal-dependency-graph-parser_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DocTime: A Document-level Temporal Dependency Graph Parser}}, year = {2026}, url = {https://4ort.xyz/entity/doctime-a-document-level-temporal-dependency-graph-parser}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DocTime: A Document-level Temporal Dependency Graph Parser — https://4ort.xyz/entity/doctime-a-document-level-temporal-dependency-graph-parser (retrieved 2026-05-24)

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