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VisText: A Benchmark for Semantically Rich Chart Captioning
Research article (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023) · cited 44× · 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). VisText: A Benchmark for Semantically Rich Chart Captioning. Retrieved May 24, 2026, from https://4ort.xyz/entity/vistext-a-benchmark-for-semantically-rich-chart-captioning
MLA“VisText: A Benchmark for Semantically Rich Chart Captioning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vistext-a-benchmark-for-semantically-rich-chart-captioning.
BibTeX@misc{4ortxyz_vistext-a-benchmark-for-semantically-rich-chart-captioning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{VisText: A Benchmark for Semantically Rich Chart Captioning}}, year = {2026}, url = {https://4ort.xyz/entity/vistext-a-benchmark-for-semantically-rich-chart-captioning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): VisText: A Benchmark for Semantically Rich Chart Captioning — https://4ort.xyz/entity/vistext-a-benchmark-for-semantically-rich-chart-captioning (retrieved 2026-05-24)