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20162023
most citedChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction

616 citations · 1.8k across the 64 of their papers we have counts for

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Showing 2019 · cs.CLShow all

6 papers · 2 filters

cs.CL2019★ 9 cited

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…

cs.CL2019

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…

cs.CL2019★ 25 cited

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…

cs.CL2019★ 75 cited

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…

cs.CL2019★ 40 cited

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…

cs.CL2019★ 36 cited

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…