972 citations · 2.3k across the 31 of their papers we have counts for
13 papers · 1 filter
Deep Active Learning for Dialogue Generation
Nabiha Asghar, Pascal Poupart, Xin Jiang +1
We propose an online, end-to-end, neural generative conversational model for open-domain dialogue. It is trained using a unique combination of offline two-phase supervised learning…
Coupling Distributed and Symbolic Execution for Natural Language Queries
Lili Mou, Zhengdong Lu, Hang Li +1
Building neural networks to query a knowledge base (a table) with natural language is an emerging research topic in deep learning. An executor for table querying typically requires…
Neural Machine Translation with Reconstruction
Zhaopeng Tu, Yang Liu, Lifeng Shang +2
Although end-to-end Neural Machine Translation (NMT) has achieved remarkable progress in the past two years, it suffers from a major drawback: translations generated by NMT systems…
Interactive Attention for Neural Machine Translation
Fandong Meng, Zhengdong Lu, Hang Li +1
Conventional attention-based Neural Machine Translation (NMT) conducts dynamic alignment in generating the target sentence. By repeatedly reading the representation of source sente…
Neural Machine Translation Advised by Statistical Machine Translation
Xing Wang, Zhengdong Lu, Zhaopeng Tu +3
Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces flu…
Context Gates for Neural Machine Translation
Zhaopeng Tu, Yang Liu, Zhengdong Lu +2
In neural machine translation (NMT), generation of a target word depends on both source and target contexts. We find that source contexts have a direct impact on the adequacy of a…