82 citations · 432 across the 55 of their papers we have counts for
7 papers · 1 filter
Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue
Jun Quan, Deyi Xiong
The training of task-oriented dialogue systems is often confronted with the lack of annotated data. In contrast to previous work which augments training data through expensive crow…
Merging External Bilingual Pairs into Neural Machine Translation
Tao Wang, Shaohui Kuang, Deyi Xiong +1
As neural machine translation (NMT) is not easily amenable to explicit correction of errors, incorporating pre-specified translations into NMT is widely regarded as a non-trivial c…
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples
Qian Cao, Shaohui Kuang, Deyi Xiong
In this paper, we study the problem of enabling neural machine translation (NMT) to reuse previous translations from similar examples in target prediction. Distinguishing reusable…
Lipschitz Constrained Parameter Initialization for Deep Transformers
Hongfei Xu, Qiuhui Liu, Josef van Genabith +2
The Transformer translation model employs residual connection and layer normalization to ease the optimization difficulties caused by its multi-layer encoder/decoder structure. Pre…
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
Yimin Jing, Deyi Xiong, Yan Zhen
This paper presents BiPaR, a bilingual parallel novel-style machine reading comprehension (MRC) dataset, developed to support multilingual and cross-lingual reading comprehension.…
Generating Highly Relevant Questions
Jiazuo Qiu, Deyi Xiong
The neural seq2seq based question generation (QG) is prone to generating generic and undiversified questions that are poorly relevant to the given passage and target answer. In thi…
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue
Jun Quan, Deyi Xiong, Bonnie Webber +1
Ellipsis and co-reference are common and ubiquitous especially in multi-turn dialogues. In this paper, we treat the resolution of ellipsis and co-reference in dialogue as a problem…