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Assessing Language Models.pdf

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Preview of Assessing Language Models
🔗 Source: preview.aclanthology.org
📊 Size: 451 KB
👤 Author: Hitomi Yanaka ; Koji Mineshima
⬇️ Downloads: 402

Summary

Researchers investigated the generalization capacity of pre-trained language models in Japanese Natural Language Inference (NLI) tasks using a newly created dataset called Japanese Adversarial NLI (JaNLI), which requires understanding of Japanese linguistic phenomena. Experiments with Japanese and multilingual BERT models showed that there is room for improvement in current models, and that structural phenomena that ease interpretation for humans do not help models in the same way. The study highlights challenges for cross-lingual generalization in NLI, including weaker cross-dataset generalization on non-entailing pairs and limited improvement from data augmentation for certain linguistic phenomena.

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Description

Researchers investigated the generalization capacity of pre-trained language models in Japanese Natural Language Inference (NLI) tasks using a newly created...

Technical Information

  • File Format: PDF
  • File Size: 451 KB
  • Pages: 13
  • Language: EN
  • Author: Hitomi Yanaka ; Koji Mineshima
  • Total Downloads: 402
  • Last Updated: 4 weeks ago

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