Patel, HarshHarshPatelZhang, XulangXulangZhangLiu, QianQianLiu2025-08-312025-08-312021-01-01[9781665424271]10.1109/ICDMW53433.2021.000292-s2.0-85125361543https://d8.irins.org/handle/IITG2025/26395Negation is a linguistic phenomenon that usually occurs in a text for denial or refute of some occasion. Detection of such negative assertions is an essential sub-task in various applications of information extraction and data mining. In this paper, we present a deep multitask learning (MTL) framework to enhance the performance of Negation Scope detection using part-of-speech (POS) tagging as an auxiliary task. We show how the relationship between these two tasks, which do not seem to be easily linked from a linguistic point of view, is mutually beneficial.falsedeep learning | multitask learning | negation scope detection | pos-tagging | sentiment analysisConference Paper23759259179-18520212cpConference Proceeding2