425 citations · 520 across the 4 of their papers we have counts for
4 papers
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
Yijiang Lian, Zhijie Chen, Jinlong Hu +11
In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query. This meth…
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li, Xiaokong Ma, Bing Jiang +6
We present Deep Speaker, a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity. The embeddings generated…
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
Peng Li, Wei Li, Zhengyan He +4
While question answering (QA) with neural network, i.e. neural QA, has achieved promising results in recent years, lacking of large scale real-word QA dataset is still a challenge…
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation
Jie Zhou, Ying Cao, Xuguang Wang +2
Neural machine translation (NMT) aims at solving machine translation (MT) problems using neural networks and has exhibited promising results in recent years. However, most of the e…