Fadhil, AhmedAbuRa'ed, Ahmed Ghassan Tawfiq2020-05-132020-05-132019Fadhil A, AbuRa’ed A. OlloBot - Towards a text-based Arabic health conversational agent: evaluation and results. In: Mitkov R, Angelova G, Nikolova I, Temnikova I, editors. International Conference Recent Advances in Natural Language Processing (RANLP 2019): Natural Language Processing in a Deep Learning World Proceedings ; 2019 Sep 2-4; Varna, Bulgaria. Stroudsburg: ACL; 2019. p. 295–303. DOI: 10.26615/978-954-452-056-4_034978-954-452-055-71313-8502http://hdl.handle.net/10230/44515Comunicació presentada a: RANLP 2019, celebrada a Varna, Bulgària del 2 al 4 de setembre de 2019We introduce OlloBot, an Arabic conver-sational agent that assists physicians andsupports patients with the care process.It doesn’t replace the physicians, insteadprovides health tracking and support andassists physicians with the care deliverythrough a conversation medium. The cur-rent model comprises healthy diet, phys-ical activity, mental health, in addition tofood logging. Not only OlloBot tracksuser daily food, it also offers useful tips forhealthier living. We will discuss the de-sign, development and testing of OlloBot,and highlight the findings and limitationsarose from the testing.application/pdfeng© ACL, Creative Commons Attribution 4.0 Licenseinfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.26615/978-954-452-056-4_034info:eu-repo/semantics/openAccess