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Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.
Research article (Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations, 2022) · cited 12× · AI/ML
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.
APA4ort.xyz Knowledge Graph. (2026). Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.. Retrieved May 24, 2026, from https://4ort.xyz/entity/are-you-a-hero-or-a-villain-a-semantic-role-labelling-approach-for-detecting-harmful-memes
MLA“Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/are-you-a-hero-or-a-villain-a-semantic-role-labelling-approach-for-detecting-harmful-memes.
BibTeX@misc{4ortxyz_are-you-a-hero-or-a-villain-a-semantic-role-labelling-approach-for-detecting-harmful-memes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.}}, year = {2026}, url = {https://4ort.xyz/entity/are-you-a-hero-or-a-villain-a-semantic-role-labelling-approach-for-detecting-harmful-memes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes. — https://4ort.xyz/entity/are-you-a-hero-or-a-villain-a-semantic-role-labelling-approach-for-detecting-harmful-memes (retrieved 2026-05-24)
