Using BERT and BART for Query Suggestion

Autor:	Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski
Přispěvatelé:	Machine Learning and Information Access (MLIA), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Piwowarski, Benjamin
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI] [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR] [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG] ComputingMilieux_MISCELLANEOUS [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Zdroj:	Joint Conference of the Information Retrieval Communities in Europe Joint Conference of the Information Retrieval Communities in Europe, Jul 2020, Samatan, France HAL
Popis:	International audience
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::eaba8aec98d9da8358348383417880f7 https://hal.sorbonne-universite.fr/hal-02989015/file/CIRCLE20_06.pdf Zobrazit plný text záznamu