Papers with zero-shot training
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction (2021.emnlp-main)
Copied to clipboard
Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
| Challenge: | Zero-shot cross-lingual information extraction (IE) is a technique for training data in a source language but not in . |
| Approach: | They explore techniques including data projection and self-training to improve zero-shot cross-lingual information extraction (IE) IE is a construction of an IE model for some target language given existing annotations exclusively in English. |
| Outcome: | The proposed techniques show that they perform better than any single strategy. |
Still All Greeklish to Me: Greeklish to Greek Transliteration (2024.lrec-main)
Copied to clipboard
| Challenge: | Greeklish is a writing form that is used to avoid switching languages on multilingual keyboards . even native Greek speakers may struggle to understand Greeklished . |
| Approach: | They propose to use Greeklish to avoid switching languages on multilingual keyboards . they propose to train models on Greek datasets using the Greek alphabet . |
| Outcome: | The proposed model outperforms existing models on Greeklish data. |