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Conversation Graph: Data Augmentation, Training and Evaluation for
  Non-Deterministic Dialogue Management

Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management

29 October 2020
Milan Gritta
Gerasimos Lampouras
Ignacio Iacobacci
ArXivPDFHTML

Papers citing "Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management"

5 / 5 papers shown
Title
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction
Nicholas Walker
Stefan Ultes
Pierre Lison
LM&Ro
61
1
0
03 Nov 2023
Improving Dialogue Management: Quality Datasets vs Models
Improving Dialogue Management: Quality Datasets vs Models
Miguel Ángel Medina-Ramírez
Cayetano Guerra
M. Hernández-Tejera
21
0
0
02 Oct 2023
Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite
  Users?
Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?
Zhiqiang Hu
Roy Ka-wei Lee
Nancy F. Chen
32
4
0
24 Oct 2022
Structure Extraction in Task-Oriented Dialogues with Slot Clustering
Structure Extraction in Task-Oriented Dialogues with Slot Clustering
Liang Qiu
Chien-Sheng Wu
Wenhao Liu
Caiming Xiong
27
8
0
28 Feb 2022
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
47
801
0
07 May 2021
1