UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering - Concepedia

Concepedia

Publication | Open Access

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering

DOI Full Paper Access

69

Citations

43

References

2022

Year

Barlas Oğuz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

Findings of the Association for Computational Linguistics: NAACL 2022

EngineeringKnowledge ExtractionOpen-domain Question AnsweringNaacl 2022Language ProcessingText MiningBarlas OguzXilun ChenNatural Language ProcessingApplied LinguisticsSyntaxInformation RetrievalData ScienceDigital LinguisticsComputational LinguisticsLinguistic TypologyGrammarLanguage StudiesSpoken Language UnderstandingMachine TranslationKnowledge RepresentationQuestion AnsweringLanguage TechnologyComputer ScienceSemantic ParsingRetrieval Augmented GenerationUnstructured KnowledgeAutomated ReasoningLanguage CorpusLinguisticsSemantic Representation

Abstract

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih. Findings of the Association for Computational Linguistics: NAACL 2022. 2022.

References

	Year	Citations

Page 1