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UmBERTo-MTSA @ AcCompl-It: Improving Complexity and Acceptability
  Prediction with Multi-task Learning on Self-Supervised Annotations

UmBERTo-MTSA @ AcCompl-It: Improving Complexity and Acceptability Prediction with Multi-task Learning on Self-Supervised Annotations

10 November 2020
Gabriele Sarti
ArXivPDFHTML

Papers citing "UmBERTo-MTSA @ AcCompl-It: Improving Complexity and Acceptability Prediction with Multi-task Learning on Self-Supervised Annotations"

2 / 2 papers shown
Title
Monolingual and Cross-Lingual Acceptability Judgments with the Italian
  CoLA corpus
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
Daniela Trotta
R. Guarasci
Elisa Leonardelli
Sara Tonelli
42
30
0
24 Sep 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,591
0
21 Jan 2020
1