40 citations · 50 across the 7 of their papers we have counts for
10 papers
Transfer Learning for Sequence Generation: from Single-source to Multi-source
Xuancheng Huang, Jingfang Xu, Maosong Sun +1
Multi-source sequence generation (MSG) is an important kind of sequence generation tasks that takes multiple sources, including automatic post-editing, multi-source translation, mu…
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
Bingning Wang, Ting Yao, Weipeng Chen +2
With the development of deep learning techniques and large scale datasets, the question answering (QA) systems have been quickly improved, providing more accurate and satisfying an…
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
BingningWang, Ting Yao, Qi Zhang +2
This paper presents the ReCO, a human-curated ChineseReading Comprehension dataset on Opinion. The questions in ReCO are opinion based queries issued to the commercial search engin…
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Yilin Niu, Fangkai Jiao, Mantong Zhou +3
Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor.…
Neural Machine Translation with Explicit Phrase Alignment
Jiacheng Zhang, Huanbo Luan, Maosong Sun +3
While neural machine translation (NMT) has achieved state-of-the-art translation performance, it is unable to capture the alignment between the input and output during the translat…
Learning to Copy for Automatic Post-Editing
Xuancheng Huang, Yang Liu, Huanbo Luan +2
Automatic post-editing (APE), which aims to correct errors in the output of machine translation systems in a post-processing step, is an important task in natural language processi…