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11/30/2022
Rephrasing the Reference for Non-Autoregressive Machine Translation
Non-autoregressive neural machine translation (NAT) models suffer from t...
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11/29/2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Recent studies have shown the impressive efficacy of counterfactually au...
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10/30/2022
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
The construction of open-domain dialogue systems requires high-quality d...
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09/16/2022
Selecting Stickers in Open-Domain Dialogue through Multitask Learning
With the increasing popularity of online chatting, stickers are becoming...
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01/14/2022
Mental Health Assessment for the Chatbots
Previous researches on dialogue system assessment usually focus on the q...
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09/14/2021
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training
Retrieval-based chatbot selects the appropriate response from candidates...
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09/14/2021
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
Recent work has proposed several efficient approaches for generating gra...
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09/14/2021
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks
Loading models pre-trained on the large-scale corpus in the general doma...
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09/14/2021
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
Automatically composing pop music with a satisfactory structure is an at...
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09/12/2021
Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora
Human conversations consist of reasonable and natural topic flows, which...
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09/04/2021
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark
As a kind of new expression elements, Internet memes are popular and ext...
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09/01/2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Data augmentation aims to enrich training samples for alleviating the ov...
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06/15/2021
Sequence-Level Training for Non-Autoregressive Neural Machine Translation
In recent years, Neural Machine Translation (NMT) has achieved notable r...
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06/07/2021
GTM: A Generative Triple-Wise Model for Conversational Question Generation
Generating some appealing questions in open-domain conversations is an e...
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06/04/2021
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
A good open-domain chatbot should avoid presenting contradictory respons...
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06/04/2021
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
Nowadays, open-domain dialogue models can generate acceptable responses ...
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01/20/2021
WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track
We participate in the DSTC9 Interactive Dialogue Evaluation Track (Gunas...
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10/09/2020
Token-level Adaptive Training for Neural Machine Translation
There exists a token imbalance phenomenon in natural language as differe...
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08/12/2020
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis
For multiple aspects scenario of aspect-based sentiment analysis (ABSA),...
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06/02/2020
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking
Recent studies in dialogue state tracking (DST) leverage historical info...
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04/26/2020
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization
Recently, variational auto-encoder (VAE) based approaches have made impr...
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04/04/2020
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
The aspect-based sentiment analysis (ABSA) task remains to be a long-sta...
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04/04/2020
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: a...
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02/01/2020
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog
Audio-Visual Scene-Aware Dialog (AVSD) is a task to generate responses w...
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11/21/2019
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
Non-Autoregressive Neural Machine Translation (NAT) achieves significant...
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11/17/2019
Multi-Zone Unit for Recurrent Neural Networks
Recurrent neural networks (RNNs) have been widely used to deal with sequ...
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11/05/2019
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation
Generally, Neural Machine Translation models generate target words in a ...
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09/16/2019
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
Spoken Language Understanding (SLU) mainly involves two tasks, intent de...
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09/02/2019
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
Context modeling is essential to generate coherent and consistent transl...
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09/01/2019
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis
Aspect based sentiment analysis (ABSA) aims to identify the sentiment po...
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06/22/2019
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Non-Autoregressive Transformer (NAT) aims to accelerate the Transformer ...
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06/06/2019
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
Current state-of-the-art systems for sequence labeling are typically bas...
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03/22/2019
An end-to-end Neural Network Framework for Text Clustering
The unsupervised text clustering is one of the major tasks in natural la...
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12/19/2018