PoE: A Panel of Experts for Generalized Automatic Dialogue Assessment (original) (raw)

MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

Luis D'Haro

ArXiv, 2021

View PDFchevron_right

Deep AM-FM: Toolkit for Automatic Dialogue Evaluation

Luis D'Haro

Lecture Notes in Electrical Engineering, 2020

View PDFchevron_right

Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations

Amrita Saha

ArXiv, 2017

View PDFchevron_right

FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation

Luis D'Haro

arXiv (Cornell University), 2022

View PDFchevron_right

D-Score: Holistic Dialogue Evaluation Without Reference

Luis D'Haro

2021

View PDFchevron_right

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

Lars Liden

arXiv (Cornell University), 2022

View PDFchevron_right

SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model

Lars Liden

ArXiv, 2020

View PDFchevron_right

Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data

Nancy Clarke

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019

View PDFchevron_right

Topic-based Evaluation for Conversational Bots

Chandra Khatri

ArXiv, 2018

View PDFchevron_right

Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach

Arash Eshghi

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue

View PDFchevron_right

A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation

Min-Yen Kan

2021

View PDFchevron_right

Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks

Arash Eshghi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

View PDFchevron_right

A Talker Ensemble: The University of Wroclaw’s Entry to the NIPS 2017 Conversational Intelligence Challenge

Paweł Rychlikowski

The NIPS '17 Competition: Building Intelligent Systems, 2018

View PDFchevron_right

Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings

Gita Sukthankar

arXiv (Cornell University), 2023

View PDFchevron_right

Viola: A Topic Agnostic Generate-and-Rank Dialogue System

Basel Shbita

Cornell University - arXiv, 2021

View PDFchevron_right

Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics

Thomas Conley

arXiv (Cornell University), 2021

View PDFchevron_right

Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators

Sanghyun Yi

Proceedings of the 12th International Conference on Natural Language Generation

View PDFchevron_right

DeepPavlov: Open-Source Library for Dialogue Systems

Vadim Polulyakh

Proceedings of ACL 2018, System Demonstrations, 2018

View PDFchevron_right

AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models

Jonáš Kulhánek

Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI, 2021

View PDFchevron_right

Generative Deep Neural Networks for Dialogue: A Short Review

丽丽 姚

View PDFchevron_right

Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning

Claudiu Musat

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

View PDFchevron_right

SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System

Seokhwan Jo

IEEE Access, 2021

View PDFchevron_right

Large Scale Multi-Actor Generative Dialog Modeling

Raul Puri

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

View PDFchevron_right

Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators

chandrakant bothe

2019

View PDFchevron_right

AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation

Jonáš Kulhánek

ArXiv, 2021

View PDFchevron_right

Further Advances in Open Domain Dialog Systems in the Third Alexa Prize Socialbot Grand Challenge

Pankaj Rajan

2020

View PDFchevron_right

An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model

Alan Salimov

View PDFchevron_right

A Knowledge-Grounded Neural Conversation Model

Jiahua Chen

View PDFchevron_right

ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language

Quân Đoàn Minh

arXiv (Cornell University), 2022

View PDFchevron_right

Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents

Ac NGUYEN TRUNG DUC

ArXiv, 2020

View PDFchevron_right

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

Stefan Wermter

2020

View PDFchevron_right

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Chandra Khatri

2018

View PDFchevron_right

The Day a System Becomes a Conversation Partner—Exploring New Horizons in Social Dialogue Systems with Large-scale Deep Learning

Hideharu NAKAJIMA

NTT Technical Review, 2021

View PDFchevron_right