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EntEval: A Holistic Evaluation Benchmark for Entity Representations
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 17× · 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). EntEval: A Holistic Evaluation Benchmark for Entity Representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/enteval-a-holistic-evaluation-benchmark-for-entity-representations
MLA“EntEval: A Holistic Evaluation Benchmark for Entity Representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enteval-a-holistic-evaluation-benchmark-for-entity-representations.
BibTeX@misc{4ortxyz_enteval-a-holistic-evaluation-benchmark-for-entity-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EntEval: A Holistic Evaluation Benchmark for Entity Representations}}, year = {2026}, url = {https://4ort.xyz/entity/enteval-a-holistic-evaluation-benchmark-for-entity-representations}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EntEval: A Holistic Evaluation Benchmark for Entity Representations — https://4ort.xyz/entity/enteval-a-holistic-evaluation-benchmark-for-entity-representations (retrieved 2026-05-24)