RULKNE: Representing User Knowledge State in Search-as-Learning with Named Entities - researchr publication authors

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Dima El Zein, Arthur Câmara, Célia da Costa Pereira, Andrea Tettamanzi. RULKNE: Representing User Knowledge State in Search-as-Learning with Named Entities. In Jacek Gwizdka, Soo Young Rieh, editors, Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, CHIIR 2023, Austin, TX, USA, March 19-23, 2023. pages 388-393, ACM, 2023. [doi]

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