Hua Wu

Chinese Poetry Generation with Planning based Neural Network

Chinese poetry generation is a very challenging task in natural language...
10/31/2016 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Semi-Supervised Learning for Neural Machine Translation

While end-to-end neural machine translation (NMT) has made remarkable pr...
06/15/2016 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information

With the rapid growth of knowledge bases (KBs) on the web, how to take f...
06/03/2016 ∙ by Yuanzhe Zhang, et al. ∙ 0 ∙ share

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Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

The attentional mechanism has proven to be effective in improving end-to...
12/15/2015 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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Minimum Risk Training for Neural Machine Translation

We propose minimum risk training for end-to-end neural machine translati...
12/08/2015 ∙ by Shiqi Shen, et al. ∙ 0 ∙ share

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DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

In this paper, we introduce DuReader, a new large-scale, open-domain Chi...
11/14/2017 ∙ by Wei He, et al. ∙ 0 ∙ share

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Multi-channel Encoder for Neural Machine Translation

Attention-based Encoder-Decoder has the effective architecture for neura...
12/06/2017 ∙ by Hao Xiong, et al. ∙ 0 ∙ share

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Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

Machine reading comprehension (MRC) on real web data usually requires th...
05/06/2018 ∙ by Yizhong Wang, et al. ∙ 0 ∙ share

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Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering

In the last decade, a variety of topic models have been proposed for tex...
08/11/2018 ∙ by Di Jiang, et al. ∙ 0 ∙ share

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Modeling Coherence for Discourse Neural Machine Translation

Discourse coherence plays an important role in the translation of one te...
11/14/2018 ∙ by Hao Xiong, et al. ∙ 0 ∙ share

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Learning to Select Knowledge for Response Generation in Dialog Systems

Generating informative responses in end-to-end neural dialogue systems a...
02/13/2019 ∙ by Rongzhong Lian, et al. ∙ 0 ∙ share

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Knowledge Aware Conversation Generation with Reasoning on Augmented Graph

Two types of knowledge, factoid knowledge from graphs and non-factoid kn...
03/25/2019 ∙ by Zhibin Liu, et al. ∙ 0 ∙ share

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Knowledge Aware Conversation Generation with Explainable Reasoning on Augmented Graphs

Two types of knowledge, triples from knowledge graphs and texts from uns...
03/25/2019 ∙ by Zhibin Liu, et al. ∙ 0 ∙ share

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End-to-End Speech Translation with Knowledge Distillation

End-to-end speech translation (ST), which directly translates from sourc...
04/17/2019 ∙ by Yuchen Liu, et al. ∙ 0 ∙ share

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ERNIE: Enhanced Representation through Knowledge Integration

We present a novel language representation model enhanced by knowledge c...
04/19/2019 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment

In this paper, a novel Generation-Evaluation framework is developed for ...
06/03/2019 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection

In human conversation an input post is open to multiple potential respon...
06/05/2019 ∙ by Chaotao Chen, et al. ∙ 0 ∙ share

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Proactive Human-Machine Conversation with Explicit Conversation Goals

Though great progress has been made for human-machine conversation, curr...
06/13/2019 ∙ by Wenquan Wu, et al. ∙ 0 ∙ share

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DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting

In this paper, we present DuTongChuan, a novel context-aware translation...
07/30/2019 ∙ by Hao Xiong, et al. ∙ 0 ∙ share

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ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

Recently, pre-trained models have achieved state-of-the-art results in v...
07/29/2019 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Multi-agent Learning for Neural Machine Translation

Conventional Neural Machine Translation (NMT) models benefit from the tr...
09/03/2019 ∙ by Tianchi Bi, et al. ∙ 0 ∙ share

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PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable

Pre-training models have been proved effective for a wide range of natur...
10/17/2019 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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CoKE: Contextualized Knowledge Graph Embedding

Knowledge graph embedding, which projects symbolic entities and relation...
11/06/2019 ∙ by Quan Wang, et al. ∙ 0 ∙ share

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

Speech-to-text translation (ST), which translates source language speech...
12/16/2019 ∙ by Yuchen Liu, et al. ∙ 0 ∙ share

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ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

Current pre-training works in natural language generation pay little att...
01/26/2020 ∙ by Dongling Xiao, et al. ∙ 0 ∙ share

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Hua Wu

Featured Co-authors

Yang Liu

Wei Li

Wei Xu

Jun Zhao

Zhe Wang

Maosong Sun

Yu Sun

Jun Xu

Jiajun Zhang

Enhong Chen

Han Zhang

Chinese Poetry Generation with Planning based Neural Network

Semi-Supervised Learning for Neural Machine Translation

Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information

Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

Minimum Risk Training for Neural Machine Translation

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

Multi-channel Encoder for Neural Machine Translation

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering

Modeling Coherence for Discourse Neural Machine Translation

Learning to Select Knowledge for Response Generation in Dialog Systems

Knowledge Aware Conversation Generation with Reasoning on Augmented Graph

Knowledge Aware Conversation Generation with Explainable Reasoning on Augmented Graphs

End-to-End Speech Translation with Knowledge Distillation

ERNIE: Enhanced Representation through Knowledge Integration

Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment

Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection

Proactive Human-Machine Conversation with Explicit Conversation Goals

DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

Multi-agent Learning for Neural Machine Translation

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable

CoKE: Contextualized Knowledge Graph Embedding

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

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation