Login / Signup

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation.

Guangyi LiuZichao YangTianhua TaoXiaodan LiangJunwei BaoZhen LiXiaodong HeShuguang CuiZhiting Hu
Published in: NAACL-HLT (2022)
Keyphrases
  • text generation
  • natural language generation
  • natural language
  • natural language processing
  • input data
  • neural network
  • intelligent systems
  • software agents
  • affine invariant
  • theorem prover
  • geometric transformations