Summary of Syndarin: Synthesising Datasets For Automated Reasoning in Low-resource Languages, by Gayane Ghazaryan et al.
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
by Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
First submitted to arxiv on: 20 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed ynin method generates and validates Question Answering (QA) datasets for low-resource languages, overcoming the scarcity of such datasets for languages other than English. The approach utilizes parallel content mining to obtain human-curated paragraphs between English and the target language, generating synthetic multiple-choice question-answer pairs in English, which are then translated and validated. This reduces the need for costly annotation and maintains quality while filtering out poor-quality data. The method is tested with a QA dataset containing 1,200 samples for the Armenian language, showing that 98% of generated English data maintains quality and diversity. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Question Answering (QA) datasets help develop Large Language Model capabilities. However, these datasets are scarce for languages other than English due to collection and annotation challenges. A new method called ynin generates and validates QA datasets for low-resource languages. It uses parallel content mining to get human-curated paragraphs between English and the target language, then creates synthetic multiple-choice questions in English that are translated and checked. This makes it easier to create high-quality datasets without spending a lot of money. |
Keywords
» Artificial intelligence » Large language model » Question answering
