b'Hua Wu'

Learning to Select External Knowledge with Multi-Scale Negative Sampling

The Track-1 of DSTC9 aims to effectively answer user requests or questio...
02/03/2021 ∙ by Huang He, et al. ∙ 0 ∙ share

read it
ERNIE-DOC: The Retrospective Long-Document Modeling Transformer

Transformers are not suited for processing long document input due to it...
12/31/2020 ∙ by Siyu Ding, et al. ∙ 8 ∙ share

read it
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora

Recent studies have demonstrated that pre-trained cross-lingual models a...
12/31/2020 ∙ by Xuan Ouyang, et al. ∙ 8 ∙ share

read it
Discovering Dialog Structure Graph for Open-Domain Dialog Generation

Learning interpretable dialog structure from human-human dialogs yields ...
12/31/2020 ∙ by Jun Xu, et al. ∙ 0 ∙ share

read it
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning

Existed pre-training methods either focus on single-modal tasks or multi...
12/31/2020 ∙ by Wei Li, et al. ∙ 0 ∙ share

read it
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding

Coarse-grained linguistic information, such as name entities or phrases,...
10/23/2020 ∙ by Dongling Xiao, et al. ∙ 1 ∙ share

read it
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

In open-domain question answering, dense passage retrieval has become a ...
10/16/2020 ∙ by Yingqi Qu Yuchen Ding, et al. ∙ 0 ∙ share

read it
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph

We propose a knowledge-enhanced approach, ERNIE-ViL, to learn joint repr...
06/30/2020 ∙ by Fei Yu, et al. ∙ 10 ∙ share

read it
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

To build a high-quality open-domain chatbot, we introduce the effective ...
06/30/2020 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

read it
Leveraging Graph to Improve Abstractive Multi-Document Summarization

Graphs that capture relations between textual units have great benefits ...
05/20/2020 ∙ by Wei Li, et al. ∙ 0 ∙ share

read it
Towards Conversational Recommendation over Multi-Type Dialogs

We focus on the study of conversational recommendation in the context of...
05/08/2020 ∙ by Zeming Liu, et al. ∙ 0 ∙ share

read it
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer

Unsupervised style transfer aims to change the style of an input sentenc...
05/05/2020 ∙ by Chulun Zhou, et al. ∙ 0 ∙ share

read it
DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models

Machine Reading Comprehension (MRC) is a crucial and challenging task in...
04/23/2020 ∙ by Hongxuan Tang, et al. ∙ 0 ∙ share

read it
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

read it
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

read it
CoKE: Contextualized Knowledge Graph Embedding

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Hua Wu

Featured Co-authors