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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...
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ERNIE-DOC: The Retrospective Long-Document Modeling Transformer
Transformers are not suited for processing long document input due to it...
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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...
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Discovering Dialog Structure Graph for Open-Domain Dialog Generation
Learning interpretable dialog structure from human-human dialogs yields ...
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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...
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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,...
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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 ...
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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...
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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 ...
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Leveraging Graph to Improve Abstractive Multi-Document Summarization
Graphs that capture relations between textual units have great benefits ...
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Towards Conversational Recommendation over Multi-Type Dialogs
We focus on the study of conversational recommendation in the context of...
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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...
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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...
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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...
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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...
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CoKE: Contextualized Knowledge Graph Embedding
Knowledge graph embedding, which projects symbolic entities and relation...
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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...
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Multi-agent Learning for Neural Machine Translation
Conventional Neural Machine Translation (NMT) models benefit from the tr...
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DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting
In this paper, we present DuTongChuan, a novel context-aware translation...
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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...
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Proactive Human-Machine Conversation with Explicit Conversation Goals
Though great progress has been made for human-machine conversation, curr...
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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...
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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 ...
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ERNIE: Enhanced Representation through Knowledge Integration
We present a novel language representation model enhanced by knowledge c...
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End-to-End Speech Translation with Knowledge Distillation
End-to-end speech translation (ST), which directly translates from sourc...
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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...
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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...
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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...
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Modeling Coherence for Discourse Neural Machine Translation
Discourse coherence plays an important role in the translation of one te...
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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...
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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...
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Multi-channel Encoder for Neural Machine Translation
Attention-based Encoder-Decoder has the effective architecture for neura...
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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...
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Chinese Poetry Generation with Planning based Neural Network
Chinese poetry generation is a very challenging task in natural language...
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Semi-Supervised Learning for Neural Machine Translation
While end-to-end neural machine translation (NMT) has made remarkable pr...
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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...
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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...
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Minimum Risk Training for Neural Machine Translation
We propose minimum risk training for end-to-end neural machine translati...
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