IMS presents 4 papers at NAACL

April 10, 2022

The following IMS papers have been accepted at NAACL:

  • Emīls Kadiķis, Vaibhav Srivastav, and Roman Klinger: "Embarrassingly simple performance prediction for abductive natural language inference."
  • Hung-yi Lee, Shang-wen Li, and Ngoc Thang Vu: "Meta Learning for Natural Language Processing: A Survey"
  • Şaziye Betül Özateş, Arzucan Özgür, Tunga Güngör, and Özlem Çetinoğlu: "Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks"
  • Iman Jundi and Gabriella Lapesa: "How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train and Few-shot Cross-lingual Transfer" (Findings)
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