Qun Liu

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Troy University ∙ HUAWEI Technologies Co., Ltd. ∙ Dublin City University ∙ Institute of Computing Technology, Chinese Academy of Sciences ∙ ADAPT Centre ∙ Louisiana State University

Professor at ADAPT Centre - Dublin City University, Professor, Reseacher at Institute of Computing Technology, Chinese Academy of Sciences

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

The pre-trained language models have achieved great successes in various...
08/31/2019 ∙ by Junqiu Wei, et al. ∙ 0 ∙ share

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Dialog State Tracking with Reinforced Data Augmentation

Neural dialog state trackers are generally limited due to the lack of qu...
08/21/2019 ∙ by Yichun Yin, et al. ∙ 5 ∙ share

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PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters

Due to the sparsity of features, noise has proven to be a great inhibito...
08/11/2019 ∙ by Qun Liu, et al. ∙ 0 ∙ share

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Modeling Semantic Compositionality with Sememe Knowledge

Semantic compositionality (SC) refers to the phenomenon that the meaning...
07/10/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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GPT-based Generation for Classical Chinese Poetry

We present a simple yet effective method for generating high quality cla...
06/29/2019 ∙ by Yi Liao, et al. ∙ 2 ∙ share

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Decomposable Neural Paraphrase Generation

Paraphrasing exists at different granularity levels, such as lexical lev...
06/24/2019 ∙ by Zichao Li, et al. ∙ 0 ∙ share

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Bridging the Gap between Training and Inference for Neural Machine Translation

Neural Machine Translation (NMT) generates target words sequentially in ...
06/06/2019 ∙ by Wen Zhang, et al. ∙ 5 ∙ share

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ERNIE: Enhanced Language Representation with Informative Entities

Neural language representation models such as BERT pre-trained on large-...
05/17/2019 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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Why do you take that route?

The purpose of this paper is to determine whether a particular context f...
05/12/2019 ∙ by Alimire Nabijiang, et al. ∙ 0 ∙ share

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Bilingual-GAN: A Step Towards Parallel Text Generation

Latent space based GAN methods and attention based sequence to sequence ...
04/09/2019 ∙ by Ahmad Rashid, et al. ∙ 0 ∙ share

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Improving Domain Adaptation Translation with Domain Invariant and Specific Information

In domain adaptation for neural machine translation, translation perform...
04/08/2019 ∙ by Shuhao Gu, et al. ∙ 0 ∙ share

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Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation

Route Choice Models predict the route choices of travelers traversing an...
03/27/2019 ∙ by Qun Liu, et al. ∙ 4 ∙ share

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Improving the Robustness of Speech Translation

Although neural machine translation (NMT) has achieved impressive progre...
11/02/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
10/15/2018 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

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Speeding Up Neural Machine Translation Decoding by Cube Pruning

Although neural machine translation has achieved promising results, it s...
09/09/2018 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters

Classification techniques for images of handwritten characters are susce...
06/21/2018 ∙ by Manohar Karki, et al. ∙ 0 ∙ share

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Understanding Meanings in Multilingual Customer Feedback

Understanding and being able to react to customer feedback is the most f...
06/05/2018 ∙ by Chao-Hong Liu, et al. ∙ 0 ∙ share

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SafeRNet: Safe Transportation Routing in the era of Internet of Vehicles and Mobile Crowd Sensing

World wide road traffic fatality and accident rates are high, and this i...
05/03/2018 ∙ by Qun Liu, et al. ∙ 0 ∙ share

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Unsupervised Learning using Pretrained CNN and Associative Memory Bank

Deep Convolutional features extracted from a comprehensive labeled datas...
05/02/2018 ∙ by Qun Liu, et al. ∙ 0 ∙ share

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Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation

Recently, neural machine translation (NMT) has emerged as a powerful alt...
04/17/2018 ∙ by Peyman Passban, et al. ∙ 0 ∙ share

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Translating Pro-Drop Languages with Reconstruction Models

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
01/10/2018 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

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CASICT Tibetan Word Segmentation System for MLWS2017

We participated in the MLWS 2017 on Tibetan word segmentation task, our ...
10/17/2017 ∙ by Jiawei Hu, et al. ∙ 0 ∙ share

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Refining Source Representations with Relation Networks for Neural Machine Translation

Although neural machine translation (NMT) with the encoder-decoder frame...
09/12/2017 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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Information-Propogation-Enhanced Neural Machine Translation by Relation Model

Even though sequence-to-sequence neural machine translation (NMT) model ...
09/06/2017 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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Deep Neural Machine Translation with Linear Associative Unit

Deep Neural Networks (DNNs) have provably enhanced the state-of-the-art ...
05/02/2017 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search

We present Grid Beam Search (GBS), an algorithm which extends beam searc...
04/24/2017 ∙ by Chris Hokamp, et al. ∙ 0 ∙ share

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Exploiting Cross-Sentence Context for Neural Machine Translation

In translation, considering the document as a whole can help to resolve ...
04/14/2017 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

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Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

We introduce a Multi-modal Neural Machine Translation model in which a d...
02/04/2017 ∙ by Iacer Calixto, et al. ∙ 0 ∙ share

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Multilingual Multi-modal Embeddings for Natural Language Processing

We propose a novel discriminative model that learns embeddings from mult...
02/03/2017 ∙ by Iacer Calixto, et al. ∙ 0 ∙ share

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Incorporating Global Visual Features into Attention-Based Neural Machine Translation

We introduce multi-modal, attention-based neural machine translation (NM...
01/23/2017 ∙ by Iacer Calixto, et al. ∙ 0 ∙ share

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Interactive Attention for Neural Machine Translation

Conventional attention-based Neural Machine Translation (NMT) conducts d...
10/17/2016 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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Memory-enhanced Decoder for Neural Machine Translation

We propose to enhance the RNN decoder in a neural machine translator (NM...
06/07/2016 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Automatic Construction of Discourse Corpora for Dialogue Translation

In this paper, a novel approach is proposed to automatically construct p...
05/22/2016 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

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A Novel Approach to Dropped Pronoun Translation

Dropped Pronouns (DP) in which pronouns are frequently dropped in the so...
04/21/2016 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

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Variational Neural Discourse Relation Recognizer

Implicit discourse relation recognition is a crucial component for autom...
03/12/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics

The widely-used automatic evaluation metrics cannot adequately reflect t...
08/10/2015 ∙ by Hui Yu, et al. ∙ 0 ∙ share

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An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model

Most of the syntax-based metrics obtain the similarity by comparing the ...
08/09/2015 ∙ by Hui Yu, et al. ∙ 0 ∙ share

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A Deep Memory-based Architecture for Sequence-to-Sequence Learning

We propose DEEPMEMORY, a novel deep architecture for sequence-to-sequenc...
06/22/2015 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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genCNN: A Convolutional Architecture for Word Sequence Prediction

We propose a novel convolutional architecture, named genCNN, for word se...
03/17/2015 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Syntax-based Deep Matching of Short Texts

Many tasks in natural language processing, ranging from machine translat...
03/09/2015 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Encoding Source Language with Convolutional Neural Network for Machine Translation

The recently proposed neural network joint model (NNJM) (Devlin et al., ...
03/06/2015 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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Qun Liu

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