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Learning Hybrid Representations to Retrieve Semantically Equivalent Questions

Research article (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2015) · cited 102× · AI/ML
academia openalex:W2250175451
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Learning Hybrid Representations to Retrieve Semantically Equivalent Questions

Summary

Learning Hybrid Representations to Retrieve Semantically Equivalent Questions is a scholarly article[1].

Key Facts

  • Learning Hybrid Representations to Retrieve Semantically Equivalent Questions'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). Learning Hybrid Representations to Retrieve Semantically Equivalent Questions. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-hybrid-representations-to-retrieve-semantically-equivalent-questions
MLA “Learning Hybrid Representations to Retrieve Semantically Equivalent Questions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-hybrid-representations-to-retrieve-semantically-equivalent-questions.
BibTeX @misc{4ortxyz_learning-hybrid-representations-to-retrieve-semantically-equivalent-questions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Hybrid Representations to Retrieve Semantically Equivalent Questions}}, year = {2026}, url = {https://4ort.xyz/entity/learning-hybrid-representations-to-retrieve-semantically-equivalent-questions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Hybrid Representations to Retrieve Semantically Equivalent Questions — https://4ort.xyz/entity/learning-hybrid-representations-to-retrieve-semantically-equivalent-questions (retrieved 2026-05-24)

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