activity
20152022
most citedERNIE: Enhanced Language Representation with Informative Entities

135 citations · 623 across the 38 of their papers we have counts for

collaborators

66 papers

cs.IR202212 cited

Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages

Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo +6

MIRACL (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual dataset we have built for the WSDM 2023 Cup challenge that focuses on ad hoc retrieval…

cs.CL2021

Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021

Xingshan Zeng, Liangyou Li, Qun Liu

This paper describes the system submitted to the IWSLT 2021 Multilingual Speech Translation (MultiST) task from Huawei Noah's Ark Lab. We use a unified transformer architecture for…

cs.CL20211 cited

Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision

Yinpeng Guo, Liangyou Li, Xin Jiang +1

Recently, pre-training multilingual language models has shown great potential in learning multilingual representation, a crucial topic of natural language processing. Prior works g…

cs.CL2021

RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer

Xingshan Zeng, Liangyou Li, Qun Liu

End-to-end simultaneous speech translation (SST), which directly translates speech in one language into text in another language in real-time, is useful in many scenarios but has n…

cs.CL20211 cited

HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management

Silin Gao, Ryuichi Takanobu, Wei Peng +2

Task-oriented dialog (TOD) systems typically manage structured knowledge (e.g. ontologies and databases) to guide the goal-oriented conversations. However, they fall short of handl…

cs.LG20218 cited

Improved OOD Generalization via Adversarial Training and Pre-training

Mingyang Yi, Lu Hou, Jiacheng Sun +4

Recently, learning a model that generalizes well on out-of-distribution (OOD) data has attracted great attention in the machine learning community. In this paper, after defining OO…