Home › Entities › academia › Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks

Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2019) · cited 23× · AI/ML
academia openalex:W2904258646
Press Enter · cited answer in seconds

Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks

Summary

Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks is a scholarly article[1].

Key Facts

  • Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/answer-identification-from-product-reviews-for-user-questions-by-multi-task-attentive-networks
MLA “Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/answer-identification-from-product-reviews-for-user-questions-by-multi-task-attentive-networks.
BibTeX @misc{4ortxyz_answer-identification-from-product-reviews-for-user-questions-by-multi-task-attentive-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks}}, year = {2026}, url = {https://4ort.xyz/entity/answer-identification-from-product-reviews-for-user-questions-by-multi-task-attentive-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks — https://4ort.xyz/entity/answer-identification-from-product-reviews-for-user-questions-by-multi-task-attentive-networks (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/answer-identification-from-product-reviews-for-user-questions-by-multi-task-attentive-networks · Last refreshed: