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). An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-affect-rich-neural-conversational-model-with-biased-attention-and-weighted-cross-entropy-loss
MLA“An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-affect-rich-neural-conversational-model-with-biased-attention-and-weighted-cross-entropy-loss.
BibTeX@misc{4ortxyz_an-affect-rich-neural-conversational-model-with-biased-attention-and-weighted-cross-entropy-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss}}, year = {2026}, url = {https://4ort.xyz/entity/an-affect-rich-neural-conversational-model-with-biased-attention-and-weighted-cross-entropy-loss}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss — https://4ort.xyz/entity/an-affect-rich-neural-conversational-model-with-biased-attention-and-weighted-cross-entropy-loss (retrieved 2026-05-24)
