Papers by Uma Roy
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool (2020.emnlp-main)
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| Challenge: | LAReQA tests for “strong” cross-lingual alignment, requiring semantically related cross-language pairs to be closer in representation space than unrelated same-language pair. |
| Approach: | They propose a new benchmark for language-agnostic answer retrieval from a multilingual candidate pool that tests for "strong" cross-lingual alignment . they augment training data via machine translation and find that model performance is improved by augmenting training data through machine translation . |
| Outcome: | The proposed task is based on multilingual BERT (mBERT) and XLM-R. |