Name
Abstract | ||
|---|---|---|
•Novel methodology for conversational knowledge extraction from the existing chatbot.•Building Neural Conversational Agent using a seq2seq-LSTM framework.•Big noisy dataset is used as a question base to force conversational knowledge extraction.•K-means clustering algorithm is used to define the stopping point for knowledge extraction.•Machine-machine conversational knowledge sharing. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.07.014 | Expert Systems with Applications |
Keywords | Field | DocType |
Human-machine interaction,Knowledge extraction,Neural conversational agent,Neural network,Rule based chatbot | Conversation,Knowledge sharing,Computer science,Human–computer interaction,Artificial intelligence,Dialog system,Chatbot,Knowledge extraction,Deep learning,Machine learning,Knowledge acquisition,The Internet | Journal |
Volume | ISSN | Citations |
137 | 0957-4174 | 1 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saša Arsovski | 1 | 1 | 1.06 |
| Hasmik Osipyan | 2 | 1 | 0.39 |
| Idris Oladele Muniru | 3 | 1 | 0.39 |
| Adrian David Cheok | 4 | 2233 | 254.03 |