AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

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 96× · AI/ML

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AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

Summary

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions is a scholarly article^[1].

Key Facts

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions's instance of is recorded as scholarly article^[2].

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Instance of scholarly article

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Authored by 4

Alyssa Hwang, Christopher Hidey, Kathy McKeown, Tuhin Chakrabarty

← Author of 4

Alyssa Hwang, Christopher Hidey, Kathy McKeown, Tuhin Chakrabarty

References

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Direct Wikidata claims

[2] ↑ AMPERSAND: Argument Mining for PERSuAsive oNline Discussions — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ AMPERSAND: Argument Mining for PERSuAsive oNline Discussions is an instance of scholarly article (scholarly article) [P31, primary]. 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). AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. Retrieved May 24, 2026, from https://4ort.xyz/entity/ampersand-argument-mining-for-persuasive-online-discussions

MLA

“AMPERSAND: Argument Mining for PERSuAsive oNline Discussions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ampersand-argument-mining-for-persuasive-online-discussions.

BibTeX

@misc{4ortxyz_ampersand-argument-mining-for-persuasive-online-discussions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AMPERSAND: Argument Mining for PERSuAsive oNline Discussions}}, year = {2026}, url = {https://4ort.xyz/entity/ampersand-argument-mining-for-persuasive-online-discussions}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AMPERSAND: Argument Mining for PERSuAsive oNline Discussions — https://4ort.xyz/entity/ampersand-argument-mining-for-persuasive-online-discussions (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/ampersand-argument-mining-for-persuasive-online-discussions · Last refreshed: May 24, 2026