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08/23/2023
Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Building socialbots that can have deep, engaging open-domain conversatio...
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05/10/2023
Multimodal Contextualized Plan Prediction for Embodied Task Completion
Task planning is an important component of traditional robotics systems ...
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03/02/2023
Alexa Arena: A User-Centric Interactive Platform for Embodied AI
We introduce Alexa Arena, a user-centric simulation platform for Embodie...
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02/21/2023
Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead
Conversational, multi-turn, text-to-SQL (CoSQL) tasks map natural langua...
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02/16/2023
Role of Bias Terms in Dot-Product Attention
Dot-product attention is a core module in the present generation of neur...
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10/19/2022
N-Best Hypotheses Reranking for Text-To-SQL Systems
Text-to-SQL task maps natural language utterances to structured queries ...
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09/26/2022
Dialog Acts for Task-Driven Embodied Agents
Embodied agents need to be able to interact in natural language understa...
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07/22/2022
Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks
While rich, open-domain textual data are generally available and may inc...
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06/15/2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
We present results from a large-scale experiment on pretraining encoders...
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06/01/2022
Understanding How People Rate Their Conversations
User ratings play a significant role in spoken dialogue systems. Typical...
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05/18/2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
Natural language guided embodied task completion is a challenging proble...
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03/18/2022
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
This is a report on the NSF Future Directions Workshop on Automatic Eval...
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12/10/2021
Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems
As more users across the world are interacting with dialog agents in the...
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10/15/2021
Training Conversational Agents with Generative Conversational Networks
Rich, open-domain textual data available on the web resulted in great ad...
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10/01/2021
TEACh: Task-driven Embodied Agents that Chat
Robots operating in human spaces must be able to engage in natural langu...
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09/24/2021
Style Control for Schema-Guided Natural Language Generation
Natural Language Generation (NLG) for task-oriented dialogue systems foc...
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06/16/2021
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
Most prior work on task-oriented dialogue systems are restricted to limi...
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06/15/2021
Generative Conversational Networks
Inspired by recent work in meta-learning and generative teaching network...
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06/11/2021
Zero-Shot Controlled Generation with Encoder-Decoder Transformers
Controlling neural network-based models for natural language generation ...
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04/19/2021
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Traditional goal-oriented dialogue systems rely on various components su...
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03/26/2021
Correcting Automated and Manual Speech Transcription Errors using Warped Language Models
Masked language models have revolutionized natural language processing s...
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01/17/2021
Few Shot Dialogue State Tracking using Meta-learning
Dialogue State Tracking (DST) forms a core component of automated chatbo...
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12/02/2020
Interactive Teaching for Conversational AI
Current conversational AI systems aim to understand a set of pre-designe...
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11/16/2020
Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems
Goal-oriented dialog systems enable users to complete specific goals lik...
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11/12/2020
Overview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
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11/05/2020
Language Model is All You Need: Natural Language Understanding as Question Answering
Different flavors of transfer learning have shown tremendous impact in a...
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11/03/2020
Warped Language Models for Noise Robust Language Understanding
Masked Language Models (MLM) are self-supervised neural networks trained...
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10/17/2020
Example-Driven Intent Prediction with Observers
A key challenge of dialog systems research is to effectively and efficie...
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09/30/2020
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation
Natural language generators (NLGs) for task-oriented dialogue typically ...
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09/28/2020
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
A long-standing goal of task-oriented dialogue research is the ability t...
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08/18/2020
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study
Large end-to-end neural open-domain chatbots are becoming increasingly p...
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06/05/2020
Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
Most prior work on task-oriented dialogue systems are restricted to a li...
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05/26/2020
Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems
Open-domain dialogue systems aim to generate relevant, informative and e...
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05/11/2020
Schema-Guided Natural Language Generation
Neural network based approaches to natural language generation (NLG) hav...
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04/13/2020
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Dialogue state tracking (DST) is at the heart of task-oriented dialogue ...
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02/07/2020
MA-DST: Multi-Attention Based Scalable Dialog State Tracking
Task oriented dialog agents provide a natural language interface for use...
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12/02/2019
Just Ask:An Interactive Learning Framework for Vision and Language Navigation
In the vision and language navigation task, the agent may encounter ambi...
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10/01/2019
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Machine Reading Comprehension (MRC) for question answering (QA), which a...
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08/28/2019
DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks
Recent advances in neural sequence-to-sequence models have led to promis...
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08/06/2019
Dialog State Tracking: A Neural Reading Comprehension Approach
Dialog state tracking is used to estimate the current belief state of a ...
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07/31/2019
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering
Understanding and conversing about dynamic scenes is one of the key capa...
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07/05/2019
Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues
Machine learning approaches for building task-oriented dialogue systems ...
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07/02/2019
MultiWOZ 2.1: Multi-Domain Dialogue State Corrections and State Tracking Baselines
MultiWOZ is a recently-released multidomain dialogue dataset spanning 7 ...
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07/01/2019
HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking
Recent works on end-to-end trainable neural network based approaches hav...
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06/17/2019
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
Task-oriented dialog systems increasingly rely on deep learning-based sl...
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04/30/2019
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
Encoder-decoder based neural architectures serve as the basis of state-o...
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03/19/2019
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
Current approaches to Natural Language Generation (NLG) focus on domain-...
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12/27/2018
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Building open domain conversational systems that allow users to have eng...
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12/21/2018
Learning to Navigate the Web
Learning in environments with large state and action spaces, and sparse ...
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11/30/2018