Xuguang Wang

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension

2020

The Natural Questions (NQ) benchmark set brings new challenges to Machine Reading Comprehension: the answers are not only at different levels of granularity (long and short), but also of richer types (including no-answer, yes/no, single-span …

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

2016 · Transactions of the Association for Computational Linguistics

Neural machine translation (NMT) aims at solving machine translation (MT) problems using neural networks and has exhibited promising results in recent years. However, most of the existing NMT models are shallow and there is still …