Теңшеуге болатын кубиктің жоғалтуы

Тізімге оралу
method ID: adjustablediceloss

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Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our system for SemEval-2023 Task 2 Multilingual Complex Named EntityRecognition (MultiCoNER II). Our teamSamsung Research China - Beijing proposesan AL-R (Adjustable Loss RoBERTa) model toboost the performance …...

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