Dilek Hakkani-Tur

research

∙ 08/23/2023

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Building socialbots that can have deep, engaging open-domain conversatio...

0 Karthik Gopalakrishnan, et al. ∙

research

∙ 05/10/2023

Multimodal Contextualized Plan Prediction for Embodied Task Completion

Task planning is an important component of traditional robotics systems ...

0 Mert İnan, et al. ∙

research

∙ 03/02/2023

Alexa Arena: A User-Centric Interactive Platform for Embodied AI

We introduce Alexa Arena, a user-centric simulation platform for Embodie...

0 Qiaozi Gao, et al. ∙

research

∙ 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...

0 Sree Hari Krishnan Parthasarathi, et al. ∙

research

∙ 02/16/2023

Role of Bias Terms in Dot-Product Attention

Dot-product attention is a core module in the present generation of neur...

0 Mahdi Namazifar, et al. ∙

research

∙ 10/19/2022

N-Best Hypotheses Reranking for Text-To-SQL Systems

Text-to-SQL task maps natural language utterances to structured queries ...

0 Lu Zeng, et al. ∙

research

∙ 09/26/2022

Dialog Acts for Task-Driven Embodied Agents

Embodied agents need to be able to interact in natural language understa...

0 Spandana Gella, et al. ∙

research

∙ 07/22/2022

Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks

While rich, open-domain textual data are generally available and may inc...

0 Yen-Ting Lin, et al. ∙

research

∙ 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...

10 Jack FitzGerald, et al. ∙

research

∙ 06/01/2022

Understanding How People Rate Their Conversations

User ratings play a significant role in spoken dialogue systems. Typical...

0 Alexandros Papangelis, et al. ∙

research

∙ 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...

3 Hyounghun Kim, et al. ∙

research

∙ 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...

6 Shikib Mehri, et al. ∙

research

∙ 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...

0 Manaal Faruqui, et al. ∙

research

∙ 10/15/2021

Training Conversational Agents with Generative Conversational Networks

Rich, open-domain textual data available on the web resulted in great ad...

0 Yen-Ting Lin, et al. ∙

research

∙ 10/01/2021

TEACh: Task-driven Embodied Agents that Chat

Robots operating in human spaces must be able to engage in natural langu...

7 Aishwarya Padmakumar, et al. ∙

research

∙ 09/24/2021

Style Control for Schema-Guided Natural Language Generation

Natural Language Generation (NLG) for task-oriented dialogue systems foc...

0 Alicia Y. Tsai, et al. ∙

research

∙ 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...

0 Di Jin, et al. ∙

research

∙ 06/15/2021

Generative Conversational Networks

Inspired by recent work in meta-learning and generative teaching network...

0 Alexandros Papangelis, et al. ∙

research

∙ 06/11/2021

Zero-Shot Controlled Generation with Encoder-Decoder Transformers

Controlling neural network-based models for natural language generation ...

0 Devamanyu Hazarika, et al. ∙

research

∙ 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...

9 Anish Acharya, et al. ∙

research

∙ 03/26/2021

Correcting Automated and Manual Speech Transcription Errors using Warped Language Models

Masked language models have revolutionized natural language processing s...

0 Mahdi Namazifar, et al. ∙

research

∙ 01/17/2021

Few Shot Dialogue State Tracking using Meta-learning

Dialogue State Tracking (DST) forms a core component of automated chatbo...

0 Saket Dingliwal, et al. ∙

research

∙ 12/02/2020

Interactive Teaching for Conversational AI

Current conversational AI systems aim to understand a set of pre-designe...

0 Qing Ping, et al. ∙

research

∙ 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...

2 Chien-Wei Lin, et al. ∙

research

∙ 11/12/2020

Overview of the Ninth Dialog System Technology Challenge: DSTC9

This paper introduces the Ninth Dialog System Technology Challenge (DSTC...

4 Chulaka Gunasekara, et al. ∙

research

∙ 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...

0 Mahdi Namazifar, et al. ∙

research

∙ 11/03/2020

Warped Language Models for Noise Robust Language Understanding

Masked Language Models (MLM) are self-supervised neural networks trained...

0 Mahdi Namazifar, et al. ∙

research

∙ 10/17/2020

Example-Driven Intent Prediction with Observers

A key challenge of dialog systems research is to effectively and efficie...

0 Shikib Mehri, et al. ∙

research

∙ 09/30/2020

Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation

Natural language generators (NLGs) for task-oriented dialogue typically ...

0 Lena Reed, et al. ∙

research

∙ 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...

23 Shikib Mehri, et al. ∙

research

∙ 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...

13 Karthik Gopalakrishnan, et al. ∙

research

∙ 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...

12 Seokhwan Kim, et al. ∙

research

∙ 05/26/2020

Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems

Open-domain dialogue systems aim to generate relevant, informative and e...

10 Behnam Hedayatnia, et al. ∙

research

∙ 05/11/2020

Schema-Guided Natural Language Generation

Neural network based approaches to natural language generation (NLG) hav...

0 Yuheng Du, et al. ∙

research

∙ 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 ...

16 Shuyang Gao, et al. ∙

research

∙ 02/07/2020

MA-DST: Multi-Attention Based Scalable Dialog State Tracking

Task oriented dialog agents provide a natural language interface for use...

0 Adarsh Kumar, et al. ∙

research

∙ 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...

0 Ta-Chung Chi, et al. ∙

research

∙ 10/01/2019

MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

Machine Reading Comprehension (MRC) for question answering (QA), which a...

0 Di Jin, et al. ∙

research

∙ 08/28/2019

DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks

Recent advances in neural sequence-to-sequence models have led to promis...

0 Semih Yavuz, et al. ∙

research

∙ 08/06/2019

Dialog State Tracking: A Neural Reading Comprehension Approach

Dialog state tracking is used to estimate the current belief state of a ...

0 Shuyang Gao, et al. ∙

research

∙ 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...

0 Guan-Lin Chao, et al. ∙

research

∙ 07/05/2019

Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues

Machine learning approaches for building task-oriented dialogue systems ...

0 Shachi Paul, et al. ∙

research

∙ 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 ...

0 Mihail Eric, et al. ∙

research

∙ 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...

0 Rahul Goel, et al. ∙

research

∙ 06/17/2019

Robust Zero-Shot Cross-Domain Slot Filling with Example Values

Task-oriented dialog systems increasingly rely on deep learning-based sl...

0 Darsh J Shah, et al. ∙

research

∙ 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...

0 Sanghyun Yi, et al. ∙

research

∙ 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-...

0 Alessandra Cervone, et al. ∙

research

∙ 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...

0 Chandra Khatri, et al. ∙

research

∙ 12/21/2018

Learning to Navigate the Web

Learning in environments with large state and action spaces, and sparse ...

0 Izzeddin Gür, et al. ∙

research

∙ 11/30/2018

Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems

Goal-oriented dialogue systems typically rely on components specifically...

0 Rahul Goel, et al. ∙

Dilek Hakkani-Tur

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