773 citations · 2.9k across the 80 of their papers we have counts for
13 papers · 1 filter
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
Yuchen Liu, Jiajun Zhang, Hao Xiong +5
Speech-to-text translation (ST), which translates source language speech into target language text, has attracted intensive attention in recent years. Compared to the traditional p…
CoKE: Contextualized Knowledge Graph Embedding
Quan Wang, Pingping Huang, Haifeng Wang +6
Knowledge graph embedding, which projects symbolic entities and relations into continuous vector spaces, is gaining increasing attention. Previous methods allow a single static emb…
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
Siqi Bao, Huang He, Fan Wang +2
Pre-training models have been proved effective for a wide range of natural language processing tasks. Inspired by this, we propose a novel dialogue generation pre-training framewor…
Multi-agent Learning for Neural Machine Translation
Tianchi Bi, Hao Xiong, Zhongjun He +2
Conventional Neural Machine Translation (NMT) models benefit from the training with an additional agent, e.g., dual learning, and bidirectional decoding with one agent decoding fro…
DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting
Hao Xiong, Ruiqing Zhang, Chuanqiang Zhang +3
In this paper, we present DuTongChuan, a novel context-aware translation model for simultaneous interpreting. This model allows to constantly read streaming text from the Automatic…
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun, Shuohuan Wang, Yukun Li +4
Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a cru…
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection
Chaotao Chen, Jinhua Peng, Fan Wang +2
In human conversation an input post is open to multiple potential responses, which is typically regarded as a one-to-many problem. Promising approaches mainly incorporate multiple…
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment
Siqi Bao, Huang He, Fan Wang +2
In this paper, a novel Generation-Evaluation framework is developed for multi-turn conversations with the objective of letting both participants know more about each other. For the…
Proactive Human-Machine Conversation with Explicit Conversation Goals
Wenquan Wu, Zhen Guo, Xiangyang Zhou +4
Though great progress has been made for human-machine conversation, current dialogue system is still in its infancy: it usually converses passively and utters words more as a matte…
ERNIE: Enhanced Representation through Knowledge Integration
Yu Sun, Shuohuan Wang, Yukun Li +7
We present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration). Inspired by the masking strategy of BER…
End-to-End Speech Translation with Knowledge Distillation
Yuchen Liu, Hao Xiong, Zhongjun He +4
End-to-end speech translation (ST), which directly translates from source language speech into target language text, has attracted intensive attentions in recent years. Compared to…
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
Zhibin Liu, Zheng-Yu Niu, Hua Wu +1
Two types of knowledge, triples from knowledge graphs and texts from documents, have been studied for knowledge aware open-domain conversation generation, in which graph paths can…
Learning to Select Knowledge for Response Generation in Dialog Systems
Rongzhong Lian, Min Xie, Fan Wang +2
End-to-end neural models for intelligent dialogue systems suffer from the problem of generating uninformative responses. Various methods were proposed to generate more informative…