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Hybrid Attentive Answer Selection in CQA With Deep Users Modelling

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2018) · cited 22× · AI/ML
academia openalex:W2789120764
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Hybrid Attentive Answer Selection in CQA With Deep Users Modelling

Summary

Hybrid Attentive Answer Selection in CQA With Deep Users Modelling is a scholarly article[1].

Key Facts

  • Hybrid Attentive Answer Selection in CQA With Deep Users Modelling's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid Attentive Answer Selection in CQA With Deep Users Modelling. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-attentive-answer-selection-in-cqa-with-deep-users-modelling
MLA “Hybrid Attentive Answer Selection in CQA With Deep Users Modelling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-attentive-answer-selection-in-cqa-with-deep-users-modelling.
BibTeX @misc{4ortxyz_hybrid-attentive-answer-selection-in-cqa-with-deep-users-modelling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Attentive Answer Selection in CQA With Deep Users Modelling}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-attentive-answer-selection-in-cqa-with-deep-users-modelling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid Attentive Answer Selection in CQA With Deep Users Modelling — https://4ort.xyz/entity/hybrid-attentive-answer-selection-in-cqa-with-deep-users-modelling (retrieved 2026-05-24)

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