Matches in SemOpenAlex for { <https://semopenalex.org/work/W2742942504> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2742942504 abstract "Question classification is the core of the question-and-answer (Q&A) sys-tem. This paper intends to use the method of deep learning to explore the question classification model in Q&A systems, the aim of which is to improve the accuracy of question classification." @default.
- W2742942504 created "2017-08-17" @default.
- W2742942504 creator A5005632451 @default.
- W2742942504 creator A5065414422 @default.
- W2742942504 creator A5075117055 @default.
- W2742942504 creator A5083166521 @default.
- W2742942504 creator A5084862521 @default.
- W2742942504 date "2017-01-01" @default.
- W2742942504 modified "2023-09-27" @default.
- W2742942504 title "Research and Implementation of Question Classification Model in Q&A System" @default.
- W2742942504 cites W1832693441 @default.
- W2742942504 cites W1991383860 @default.
- W2742942504 cites W2061495585 @default.
- W2742942504 cites W2063157272 @default.
- W2742942504 cites W2120615054 @default.
- W2742942504 cites W2122993045 @default.
- W2742942504 cites W2250473257 @default.
- W2742942504 cites W2251287417 @default.
- W2742942504 cites W2462025561 @default.
- W2742942504 cites W2963355447 @default.
- W2742942504 cites W2963872035 @default.
- W2742942504 doi "https://doi.org/10.1007/978-3-319-65482-9_25" @default.
- W2742942504 hasPublicationYear "2017" @default.
- W2742942504 type Work @default.
- W2742942504 sameAs 2742942504 @default.
- W2742942504 citedByCount "2" @default.
- W2742942504 countsByYear W27429425042017 @default.
- W2742942504 countsByYear W27429425042022 @default.
- W2742942504 crossrefType "book-chapter" @default.
- W2742942504 hasAuthorship W2742942504A5005632451 @default.
- W2742942504 hasAuthorship W2742942504A5065414422 @default.
- W2742942504 hasAuthorship W2742942504A5075117055 @default.
- W2742942504 hasAuthorship W2742942504A5083166521 @default.
- W2742942504 hasAuthorship W2742942504A5084862521 @default.
- W2742942504 hasConcept C110083411 @default.
- W2742942504 hasConcept C119857082 @default.
- W2742942504 hasConcept C154945302 @default.
- W2742942504 hasConcept C2164484 @default.
- W2742942504 hasConcept C41008148 @default.
- W2742942504 hasConcept C76155785 @default.
- W2742942504 hasConceptScore W2742942504C110083411 @default.
- W2742942504 hasConceptScore W2742942504C119857082 @default.
- W2742942504 hasConceptScore W2742942504C154945302 @default.
- W2742942504 hasConceptScore W2742942504C2164484 @default.
- W2742942504 hasConceptScore W2742942504C41008148 @default.
- W2742942504 hasConceptScore W2742942504C76155785 @default.
- W2742942504 hasLocation W27429425041 @default.
- W2742942504 hasOpenAccess W2742942504 @default.
- W2742942504 hasPrimaryLocation W27429425041 @default.
- W2742942504 hasRelatedWork W2063157272 @default.
- W2742942504 hasRelatedWork W2158443418 @default.
- W2742942504 hasRelatedWork W2174551782 @default.
- W2742942504 hasRelatedWork W2250366327 @default.
- W2742942504 hasRelatedWork W2539338396 @default.
- W2742942504 hasRelatedWork W2739455924 @default.
- W2742942504 hasRelatedWork W2766474850 @default.
- W2742942504 hasRelatedWork W2784311771 @default.
- W2742942504 hasRelatedWork W2912231389 @default.
- W2742942504 hasRelatedWork W2922299418 @default.
- W2742942504 hasRelatedWork W2934929010 @default.
- W2742942504 hasRelatedWork W2963010846 @default.
- W2742942504 hasRelatedWork W2963655104 @default.
- W2742942504 hasRelatedWork W2963871484 @default.
- W2742942504 hasRelatedWork W2994900646 @default.
- W2742942504 hasRelatedWork W2996919866 @default.
- W2742942504 hasRelatedWork W2997558244 @default.
- W2742942504 hasRelatedWork W3103283534 @default.
- W2742942504 hasRelatedWork W3120414668 @default.
- W2742942504 hasRelatedWork W3155284954 @default.
- W2742942504 isParatext "false" @default.
- W2742942504 isRetracted "false" @default.
- W2742942504 magId "2742942504" @default.
- W2742942504 workType "book-chapter" @default.