b'Hua Wu'

A Unified Pre-training Framework for Conversational AI

In this work, we explore the application of PLATO-2 on various dialogue ...
05/06/2021 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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BSTC: A Large-Scale Chinese-English Speech Translation Dataset

This paper presents BSTC (Baidu Speech Translation Corpus), a large-scal...
04/08/2021 ∙ by Ruiqing Zhang, et al. ∙ 4 ∙ share

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Syntactic and Semantic-driven Learning for Open Information Extraction

One of the biggest bottlenecks in building accurate, high coverage neura...
03/05/2021 ∙ by Jialong Tang, et al. ∙ 0 ∙ share

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Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing

Data augmentation has attracted a lot of research attention in the deep ...
03/03/2021 ∙ by Ao Zhang, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Hua Wu

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