كتاب إلكتروني

Jigsaw @ AMI and HaSpeeDe2: Fine-Tuning a Pre-Trained Comment-Domain BERT Model

التفاصيل البيبلوغرافية
العنوان: Jigsaw @ AMI and HaSpeeDe2: Fine-Tuning a Pre-Trained Comment-Domain BERT Model
المؤلفون: Lees, Alyssa, Sorensen, Jeffrey, Kivlichan, Ian
المصدر: Accademia University PressOpenAIRE.
بيانات النشر: Accademia University Press.
وصف مادي: 40-47
مصطلحات موضوعية: Language & Linguistics, EVALITA, COVID-19 Infodemic, linguistica computazionale, Automatic Misogyny Identification, Misogyny on Twitter Posts, AlBERTo, Convolutional Neural Network, BERT Model, Hate Speech Detection, Multimodal Meme Detection, MEME management, Language Game ``La Ghigliottina''
الوصف: The Google Jigsaw team produced submissions for two of the EVALITA 2020 (Basile et al. 2020) shared tasks, based in part on the technology that powers the publicly available PerspectiveAPI comment evaluation service. We present a basic description of our submitted results and a review of the types of errors that our system made in these shared tasks.
نوع الوثيقة: Chapter
اللغة: English
ردمك: 979-1-280-13632-9
Relation: http://books.openedition.org/aaccademia/basictei/6789; http://books.openedition.org/aaccademia/tei/6789
URL الوصول: http://books.openedition.org/aaccademia/6789
حقوق: CC BY-NC-ND 4.0
رقم الأكسشن: edsrev.CC5246A3
قاعدة البيانات: Openedition.org