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Continual Learning in Task-Oriented Dialogue Systems
Continual learning in task-oriented dialogue systems can allow us to add...
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Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
Despite the recent success of large-scale language models on various dow...
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Gunrock 2.0: A User Adaptive Social Conversational System
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptati...
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Memformer: The Memory-Augmented Transformer
Transformer models have obtained remarkable accomplishments in various N...
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Code to Comment "Translation": Data, Metrics, Baselining Evaluation
The relationship of comments to code, and in particular, the task of gen...
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ALICE: Active Learning with Contrastive Natural Language Explanations
Training a supervised neural network classifier typically requires many ...
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Structured Attention for Unsupervised Dialogue Structure Induction
Inducing a meaningful structural representation from one or a set of dia...
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Perception Score, A Learned Metric for Open-ended Text Generation Evaluation
Automatic evaluation for open-ended natural language generation tasks re...
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Fréchet Sufficient Dimension Reduction for Random Objects
We in this paper consider Fréchet sufficient dimension reduction with re...
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Deep Dimension Reduction for Supervised Representation Learning
The success of deep supervised learning depends on its automatic data re...
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Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
Open Domain dialog system evaluation is one of the most important challe...
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On the Generation of Medical Dialogues for COVID-19
Under the pandemic of COVID-19, people experiencing COVID19-related symp...
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Deep Multimodal Neural Architecture Search
Designing effective neural networks is fundamentally important in deep m...
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Data Annealing for Informal Language Understanding Tasks
There is a huge performance gap between formal and informal language und...
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A Tailored Pre-Training Model for Task-Oriented Dialog Generation
The recent success of large pre-trained language models such as BERT and...
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Paraphrase Augmented Task-Oriented Dialog Generation
Neural generative models have achieved promising performance on dialog g...
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Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos
The task of temporally grounding textual queries in videos is to localiz...
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Matching Text with Deep Mutual Information Estimation
Text matching is a core natural language processing research problem. Ho...
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Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies
Intelligent conversational agents, or chatbots, can take on various iden...
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Distributed estimation of principal support vector machines for sufficient dimension reduction
The principal support vector machines method (Li et al., 2011) is a powe...
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Filling Conversation Ellipsis for Better Social Dialog Understanding
The phenomenon of ellipsis is prevalent in social conversations. Ellipsi...
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End-to-End Trainable Non-Collaborative Dialog System
End-to-end task-oriented dialog models have achieved promising performan...
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Importance-Aware Learning for Neural Headline Editing
Many social media news writers are not professionally trained. Therefore...
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Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Conversations have an intrinsic one-to-many property, which means that m...
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Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models
Existing dialog system models require extensive human annotations and ar...
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Gunrock: A Social Bot for Complex and Engaging Long Conversations
Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by co...
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Abstractive Dialog Summarization with Semantic Scaffolds
The demand for abstractive dialog summary is growing in real-world appli...
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Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
We study non-collaborative dialogs, where two agents have a conflict of ...
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Dynamic Partial Sufficient Dimension Reduction
Sufficient dimension reduction aims for reduction of dimensionality of a...
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MOSS: End-to-End Dialog System Framework with Modular Supervision
A major bottleneck in training end-to-end task-oriented dialog system is...
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Dependency Parsing for Spoken Dialog Systems
Dependency parsing of conversational input can play an important role in...
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Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation
Reinforcement learning (RL) is an effective approach to learn an optimal...
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How to Build User Simulators to Train RL-based Dialog Systems
User simulators are essential for training reinforcement learning (RL) b...
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MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations
Dialog act prediction is an essential language comprehension task for bo...
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Multimodal Unified Attention Networks for Vision-and-Language Interactions
Learning an effective attention mechanism for multimodal data is importa...
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Deep Modular Co-Attention Networks for Visual Question Answering
Visual Question Answering (VQA) requires a fine-grained and simultaneous...
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Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Developing intelligent persuasive conversational agents to change people...
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Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks
With the widespread success of deep neural networks in science and techn...
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Domain Adaptive Dialog Generation via Meta Learning
Domain adaptation is an essential task in dialog system building because...
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ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Recent developments in modeling language and vision have been successful...
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Multimodal Transformer with Multi-View Visual Representation for Image Captioning
Image captioning aims to automatically generate a natural language descr...
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Single Pixel Reconstruction for One-stage Instance Segmentation
Object instance segmentation is one of the most fundamental but challeng...
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Unsupervised Dialog Structure Learning
Learning a shared dialog structure from a set of task-oriented dialogs i...
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Incorporating Structured Commonsense Knowledge in Story Completion
The ability to select an appropriate story ending is the first step towa...
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Structured Content Preservation for Unsupervised Text Style Transfer
Text style transfer aims to modify the style of a sentence while keeping...
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A Visual Attention Grounding Neural Model for Multimodal Machine Translation
We introduce a novel multimodal machine translation model that utilizes ...
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Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
With the increasing popularity of smart devices, rumors with multimedia ...
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Overlapping Sliced Inverse Regression for Dimension Reduction
Sliced inverse regression (SIR) is a pioneer tool for supervised dimensi...
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Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Visual grounding aims to localize an object in an image referred to by a...
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Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog
Creating an intelligent conversational system that understands vision an...
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