SG-Net: Syntax-Guided Machine Reading Comprehension

Zhuosheng ZhangYuwei WuJunru ZhouSufeng DuanHai ZhaoRui Wang

   Papers with code   Abstract  PDF

For machine reading comprehension, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy passages and getting ride of the noises is essential to improve its performance. Traditional attentive models attend to all words without explicit constraint, which results in inaccurate concentration on some dispensable words... (read more)

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