Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Research article (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018) · cited 444× · AI/ML
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text is a scholarly article[1].

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  • Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. Retrieved May 24, 2026, from https://4ort.xyz/entity/open-domain-question-answering-using-early-fusion-of-knowledge-bases-and-text
MLA “Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/open-domain-question-answering-using-early-fusion-of-knowledge-bases-and-text.
BibTeX @misc{4ortxyz_open-domain-question-answering-using-early-fusion-of-knowledge-bases-and-text_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text}}, year = {2026}, url = {https://4ort.xyz/entity/open-domain-question-answering-using-early-fusion-of-knowledge-bases-and-text}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text — https://4ort.xyz/entity/open-domain-question-answering-using-early-fusion-of-knowledge-bases-and-text (retrieved 2026-05-24)

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