Search Results for author: Wenbin Jiang

Found 20 papers, 2 papers with code

Masks Fusion with Multi-Target Learning For Speech Enhancement

1 code implementation23 Sep 2021 Liangchen Zhou, Wenbin Jiang, Jingyan Xu, Fei Wen, Peilin Liu

Typically, a single T-F mask is first estimated based on DNN and then used to mask the spectrogram of noisy speech in an order to suppress the noise.

Speech Enhancement

Multi-view Classification Model for Knowledge Graph Completion

no code implementations Asian Chapter of the Association for Computational Linguistics 2020 Wenbin Jiang, Mengfei Guo, Yufeng Chen, Ying Li, Jinan Xu, Yajuan Lyu, Yong Zhu

This paper describes a novel multi-view classification model for knowledge graph completion, where multiple classification views are performed based on both content and context information for candidate triple evaluation.

Classification Knowledge Graph Completion

CoKE: Contextualized Knowledge Graph Embedding

2 code implementations6 Nov 2019 Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu

This work presents Contextualized Knowledge Graph Embedding (CoKE), a novel paradigm that takes into account such contextual nature, and learns dynamic, flexible, and fully contextualized entity and relation embeddings.

Knowledge Graph Embedding Link Prediction

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

no code implementations10 Aug 2015 Hui Yu, Xiaofeng Wu, Wenbin Jiang, Qun Liu, ShouXun Lin

The widely-used automatic evaluation metrics cannot adequately reflect the fluency of the translations.

Machine Translation

An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model

no code implementations9 Aug 2015 Hui Yu, Xiaofeng Wu, Wenbin Jiang, Qun Liu, ShouXun Lin

To avoid these problems, we propose a novel automatic evaluation metric based on dependency parsing model, with no need to define sub-structures by human.

Dependency Parsing Machine Translation

$gen$CNN: A Convolutional Architecture for Word Sequence Prediction

no code implementations17 Mar 2015 Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu

Different from previous work on neural network-based language modeling and generation (e. g., RNN or LSTM), we choose not to greedily summarize the history of words as a fixed length vector.

Language Modelling Machine Translation +2

Encoding Source Language with Convolutional Neural Network for Machine Translation

no code implementations IJCNLP 2015 Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu

The recently proposed neural network joint model (NNJM) (Devlin et al., 2014) augments the n-gram target language model with a heuristically chosen source context window, achieving state-of-the-art performance in SMT.

Language Modelling Machine Translation

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