research
∙
01/16/2021
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
With the development of deep learning techniques and large scale dataset...
share
research
∙
07/14/2020
Modeling Voting for System Combination in Machine Translation
System combination is an important technique for combining the hypothese...
research
∙
06/22/2020
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
This paper presents the ReCO, a human-curated ChineseReading Comprehensi...
research
∙
05/11/2020
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Neural models have achieved great success on machine reading comprehensi...
research
∙
11/26/2019
Neural Machine Translation with Explicit Phrase Alignment
While neural machine translation (NMT) has achieved state-of-the-art tra...
research
∙
11/09/2019
Learning to Copy for Automatic Post-Editing
Automatic post-editing (APE), which aims to correct errors in the output...
research
∙
09/05/2019
Adversarial Examples with Difficult Common Words for Paraphrase Identification
Despite the success of deep models for paraphrase identification on benc...
research
∙
11/02/2018
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Although neural machine translation has made significant progress recent...
research
∙
10/08/2018
Improving the Transformer Translation Model with Document-Level Context
Although the Transformer translation model (Vaswani et al., 2017) has ac...
research
∙
10/16/2017
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
This paper concerns a deep learning approach to relevance ranking in inf...
research
∙
06/09/2017