تقرير
Unified Question Answering in Slovene
| العنوان: | Unified Question Answering in Slovene |
|---|---|
| المؤلفون: | Logar, Katja, Robnik-Šikonja, Marko |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence, 68T50, I.2.7 |
| الوصف: | Question answering is one of the most challenging tasks in language understanding. Most approaches are developed for English, while less-resourced languages are much less researched. We adapt a successful English question-answering approach, called UnifiedQA, to the less-resourced Slovene language. Our adaptation uses the encoder-decoder transformer SloT5 and mT5 models to handle four question-answering formats: yes/no, multiple-choice, abstractive, and extractive. We use existing Slovene adaptations of four datasets, and machine translate the MCTest dataset. We show that a general model can answer questions in different formats at least as well as specialized models. The results are further improved using cross-lingual transfer from English. While we produce state-of-the-art results for Slovene, the performance still lags behind English. Comment: 4 pages,published in Proceedings of the 25th International Multiconference INFORMATION SOCIETY - IS 2012, Volume A -Slovenian Conference on Artificial Intelligence SCAI 2022, Ljubljana, 2022, pp. 23-26 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2211.09159 |
| رقم الأكسشن: | edsarx.2211.09159 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |