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  • 标题:Spartans@LT-EDI-EACL2021: Inclusive Speech Detection using Pretrained Language Models
  • 本地全文:下载
  • 作者:Megha Sharma ; Gaurav Arora
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2021
  • 卷号:2021
  • 页码:188-192
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:We describe our system that ranked first in Hope Speech Detection (HSD) shared task and fourth in Offensive Language Identification (OLI) shared task, both in Tamil language. The goal of HSD and OLI is to identify if a code-mixed comment or post contains hope speech or offensive content respectively. We pre-train a transformer-based model RoBERTa using synthetically generated code-mixed data and use it in an ensemble along with their pre-trained ULMFiT model available from iNLTK.
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