WebFAQ Non-English Pre-training for Multilingual Encoder Cross-Lingual Reasoning on XNLI

Abstract

Abstract: Natural Language Processing systems are heavily dependent on the availability of annotated data to train practical models. Primarily, models are trained on English datasets. In recent times, significant advances have been made in multilingual understanding due to the steeply increasing necessity of working in different languages. One of the points that stands out is that since there are now so many pre-trained multilingual models, we can utilize them for cross-lingual understanding tasks. Using cross-lingual understanding and Natural Language Inference, it is possible to train models whose app

Research Question

Does incorporating WebFAQ's 47 million non-English samples into pre-training improve the cross-lingual reasoning capabilities of multilingual encoders on the XNLI test set relative to English-only pre-training baselines?

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