Unsupervised Domain Adaptation of Language Models for Reading Comprehension

Understand

This study tackles unsupervised domain adaptation of reading comprehension (UDARC).

• Reading comprehension (RC) is a task to learn the capability for question answering with textual sources.
• State-of-the-art models on RC still do not have general linguistic intelligence; i.e., their accuracy worsens for out-domain datasets that are not used in the training.
• We hypothesize that this discrepancy is caused by a lack of the language modeling (LM) capability for the out-domain.