198 citations · 276 across the 11 of their papers we have counts for
11 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…
Robustness to Modification with Shared Words in Paraphrase Identification
Zhouxing Shi, Minlie Huang
Revealing the robustness issues of natural language processing models and improving their robustness is important to their performance under difficult situations. In this paper, we…
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Jiacheng Zhang, Yang Liu, Huanbo Luan +2
Although neural machine translation has made significant progress recently, how to integrate multiple overlapping, arbitrary prior knowledge sources remains a challenge. In this wo…
Improving the Transformer Translation Model with Document-Level Context
Jiacheng Zhang, Huanbo Luan, Maosong Sun +4
Although the Transformer translation model (Vaswani et al., 2017) has achieved state-of-the-art performance in a variety of translation tasks, how to use document-level context to…
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
Liang Pang, Yanyan Lan, Jiafeng Guo +3
This paper concerns a deep learning approach to relevance ranking in information retrieval (IR). Existing deep IR models such as DSSM and CDSSM directly apply neural networks to ge…
Assigning personality/identity to a chatting machine for coherent conversation generation
Qiao Qian, Minlie Huang, Haizhou Zhao +2
Endowing a chatbot with personality or an identity is quite challenging but critical to deliver more realistic and natural conversations. In this paper, we address the issue of gen…