Name
Abstract | ||
|---|---|---|
Artificial Intelligence has genuine imperative influence in our daily life rendering to the problem resolving. Many approaches were presented recently for developing TCBR applications. A classical and fundamental application is QA system with the assistance of textual cases, expertise acquaintance accumulation in the library full of past cases explanations and with the help of multi-agent. This challenge essentially needs an intelligent approach to overcome this problem. Many QA systems have been developed for English and other well-known languages however, no significant work was found for Urdu language. Despite spoken by millions of people, Urdu is an under-resourced language in terms of available computational resources. It inherits a lot of vocabulary from Arabic, Persian and the native languages of South Asia. Due to this influence, it has a complex morphology. In the proposed system, we meet the challenges in this domain by the assist of Question Answer system and utility assembly of Urdu language processing. Moreover, the solution shows the working of the knowledge system and deliberates good results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICMLA.2018.00212 | 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) |
Keywords | Field | DocType |
Artificial intelligence, Urdu question-answer system, Natural Language Processing, TCBR, Multi-agent | Tokenization (data security),Secondary education,Computer science,Persian,Languages of South Asia,Urdu,Artificial intelligence,Rendering (computer graphics),Cognition,Vocabulary,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sikandar Ali | 1 | 7 | 8.23 |
| Aslam Muhammad | 2 | 22 | 9.31 |
| Noman Jazeb | 3 | 0 | 0.34 |
| Ana María Martínez Enríquez | 4 | 48 | 7.86 |
| Farooq Ahmad | 5 | 0 | 2.03 |