Chengqing Zong

research

∙ 01/12/2023

Language Cognition and Language Computation – Human and Machine Language Understanding

Language understanding is a key scientific issue in the fields of cognit...

Shaonan Wang, et al. ∙

research

∙ 12/06/2022

Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation

A common scenario of Multilingual Neural Machine Translation (MNMT) is t...

fcq, et al. ∙

research

∙ 05/26/2022

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Role-oriented dialogue summarization is to generate summaries for differ...

Haitao Lin, et al. ∙

research

∙ 01/18/2022

Instance-aware Prompt Learning for Language Understanding and Generation

Recently, prompt learning has become a new paradigm to utilize pre-train...

Feihu Jin, et al. ∙

research

∙ 12/08/2021

Learning to Select the Next Reasonable Mention for Entity Linking

Entity linking aims to establish a link between entity mentions in a doc...

Jian Sun, et al. ∙

research

∙ 08/30/2021

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Dialogue summarization has drawn much attention recently. Especially in ...

Haitao Lin, et al. ∙

research

∙ 08/19/2021

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models

Spoken Language Understanding (SLU) is one essential step in building a ...

Haitao Lin, et al. ∙

research

∙ 10/28/2020

Bridging the Modality Gap for Speech-to-Text Translation

End-to-end speech translation aims to translate speech in one language i...

Yuchen Liu, et al. ∙

research

∙ 10/09/2020

Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning

Document-level neural machine translation has yielded attractive improve...

Xiaomian Kang, et al. ∙

research

∙ 04/13/2020

Neural Machine Translation: Challenges, Progress and Future

Machine translation (MT) is a technique that leverages computers to tran...

Jiajun Zhang, et al. ∙

research

∙ 12/16/2019

Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

Speech-to-text translation (ST), which translates source language speech...

Yuchen Liu, et al. ∙

research

∙ 08/31/2019

NCLS: Neural Cross-Lingual Summarization

Cross-lingual summarization (CLS) is the task to produce a summary in on...

Junnan Zhu, et al. ∙

research

∙ 08/19/2019

Are You for Real? Detecting Identity Fraud via Dialogue Interactions

Identity fraud detection is of great importance in many real-world scena...

Weikang Wang, et al. ∙

research

∙ 07/01/2019

Understanding Memory Modules on Learning Simple Algorithms

Recent work has shown that memory modules are crucial for the generaliza...

Kexin Wang, et al. ∙

research

∙ 06/23/2019

Sequence Generation: From Both Sides to the Middle

The encoder-decoder framework has achieved promising process for many se...

Long Zhou, et al. ∙

research

∙ 06/12/2019

Incremental Learning from Scratch for Task-Oriented Dialogue Systems

Clarifying user needs is essential for existing task-oriented dialogue s...

Weikang Wang, et al. ∙

research

∙ 06/05/2019

Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference

Dialogue contexts are proven helpful in the spoken language understandin...

He Bai, et al. ∙

research

∙ 05/13/2019

Synchronous Bidirectional Neural Machine Translation

Existing approaches to neural machine translation (NMT) generate the tar...

Long Zhou, et al. ∙

research

∙ 04/17/2019

End-to-End Speech Translation with Knowledge Distillation

End-to-end speech translation (ST), which directly translates from sourc...

Yuchen Liu, et al. ∙

research

∙ 02/24/2019

Synchronous Bidirectional Inference for Neural Sequence Generation

In sequence to sequence generation tasks (e.g. machine translation and a...

Jiajun Zhang, et al. ∙

research

∙ 11/01/2018

Language-Independent Representor for Neural Machine Translation

Current Neural Machine Translation (NMT) employs a language-specific enc...

Long Zhou, et al. ∙

research

∙ 05/25/2018

Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...

fcq, et al. ∙

research

∙ 01/02/2018

Learning Multimodal Word Representation via Dynamic Fusion Methods

Multimodal models have been proven to outperform text-based models on le...

Shaonan Wang, et al. ∙

research

∙ 11/15/2017

Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics

Multimodal models have been proven to outperform text-based approaches o...

Shaonan Wang, et al. ∙

research

∙ 11/13/2017

Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

Neural machine translation (NMT), a new approach to machine translation,...

Yining Wang, et al. ∙

research

∙ 11/03/2017

Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...

Yining Wang, et al. ∙

research

∙ 08/30/2017

Look-ahead Attention for Generation in Neural Machine Translation

The attention model has become a standard component in neural machine tr...

Long Zhou, et al. ∙

research

∙ 04/21/2017

Neural System Combination for Machine Translation

Neural machine translation (NMT) becomes a new approach to machine trans...

Long Zhou, et al. ∙

research

∙ 01/03/2017

Shortcut Sequence Tagging

Deep stacked RNNs are usually hard to train. Adding shortcut connections...

Huijia Wu, et al. ∙

research

∙ 10/24/2016

Bridging Neural Machine Translation and Bilingual Dictionaries

Neural Machine Translation (NMT) has become the new state-of-the-art in ...

Jiajun Zhang, et al. ∙

research

∙ 10/11/2016

An Empirical Exploration of Skip Connections for Sequential Tagging

In this paper, we empirically explore the effects of various kinds of sk...

Huijia Wu, et al. ∙

research

∙ 10/10/2016

A Dynamic Window Neural Network for CCG Supertagging

Combinatory Category Grammar (CCG) supertagging is a task to assign lexi...

Huijia Wu, et al. ∙

research

∙ 07/07/2016

Neural Name Translation Improves Neural Machine Translation

In order to control computational complexity, neural machine translation...

Xiaoqing Li, et al. ∙

research

∙ 02/05/2015

Beyond Word-based Language Model in Statistical Machine Translation

Language model is one of the most important modules in statistical machi...

Jiajun Zhang, et al. ∙

Chengqing Zong

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