64 citations · 212 across the 32 of their papers we have counts for
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cs.CL2019
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oğuz, Ruty Rinott +2
Question answering (QA) models have shown rapid progress enabled by the availability of large, high-quality benchmark datasets. Such annotated datasets are difficult and costly to…
cs.CL2019★ 14 cited
Bridging the domain gap in cross-lingual document classification
Guokun Lai, Barlas Oguz, Yiming Yang +1
The scarcity of labeled training data often prohibits the internationalization of NLP models to multiple languages. Recent developments in cross-lingual understanding (XLU) has mad…