Name
Abstract | ||
|---|---|---|
This paper presents a deep learning based dialogue system which has been trained to answer user queries posed as questions during a conversation. The proposed system, though generative, takes advantage of domain specific knowledge for generating valid answers. The evaluation analysis shows that the proposed system obtained a promising result. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-59569-6_32 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Recurrent neural networks,Long short-term memory,Chatbot,Conversational agent | Speech processing,Conversation,Computer science,Long short term memory,Recurrent neural network,Artificial intelligence,Chatbot,Natural language processing,Dialog system,Deep learning,Generative grammar | Conference |
Volume | ISSN | Citations |
10260 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kolawole John Adebayo | 1 | 0 | 1.01 |
| Luigi Di Caro | 2 | 195 | 35.21 |
| Livio Robaldo | 3 | 269 | 33.46 |
| Guido Boella | 4 | 1867 | 162.59 |