Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Applied Sciences  /  Vol: 14 Par: 1 (2024)  /  Artículo
ARTÍCULO
TITULO

TodBR: Target-Oriented Dialog with Bidirectional Reasoning on Knowledge Graph

Zongfeng Qu    
Zhitong Yang    
Bo Wang and Qinghua Hu    

Resumen

This article proposes a reasoning-based dialog agent to facilitate dialog goal accomplishment through natural language interaction. The model can be applied in the conversation recommendation, topic guidance, psychotherapy and education domains.

 Artículos similares

       
 
Cui Dewen, Matsufuji Akihiro, Liu Yi, Eri Sato- Shimokawa, Toru Yamaguchi     Pág. 338 - 350
In human-robot interaction, human mental states in dialogue have attracted attention to human-friendly robots that support educational use. Although estimating mental states using speech and visual information has been conducted, it is still challenging ... ver más

 
Sareh Aghaei, Kevin Angele, Elwin Huaman, Geni Bushati, Mathias Schiestl and Anna Fensel    
Search on the web, specifically fetching of the relevant content, has been paid attention to since the advent of the web and particularly in recent years due to the tremendous growth in the volume of data and web pages. This paper categorizes the search ... ver más
Revista: Information

 
Jabar H. Yousif, Firdouse R. Khan, Safiya N. Al Jaradi and Aysha S. Alshibli    
Social media applications have been increasingly gaining significant attention from online education and training platforms. Social networking tools provide multiple advantages for communicating, exchanging opinions, and discussing specific issues. Socia... ver más
Revista: Computation

 
Igor Nikolaevich Glukhikh, Liudmila Anatolevna Tolstolesova and Otabek Anzor ugli Arzikulov    
The modern approach to realization of large, expensive projects with long payback periods in various sectors of infrastructure often involves combining the financial resources of public authorities and the private sector through a public?private partners... ver más

 
Jeong-Uk Bang, Seung Yun, Seung-Hi Kim, Mu-Yeol Choi, Min-Kyu Lee, Yeo-Jeong Kim, Dong-Hyun Kim, Jun Park, Young-Jik Lee and Sang-Hun Kim    
This paper introduces a large-scale spontaneous speech corpus of Korean, named KsponSpeech. This corpus contains 969 h of general open-domain dialog utterances, spoken by about 2000 native Korean speakers in a clean environment. All data were constructed... ver más
Revista: Applied Sciences