Lexical Intent Recognition in Urdu Queries Using Deep Neural Networks

Author:

Shams Sana,Aslam Muhammad,Martinez-Enriquez Ana Maria

Publisher

Springer International Publishing

Reference30 articles.

1. Jansen, B.J., Booth, D.: Classifying web queries by topic and user intent. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2010, pp. 4285–4290. ACM, Atlanta (2010)

2. Urooj, S., Shams, S., Hussain, S., Adeeba, F.: Sense tagged CLE Urdu digest corpus. In: Proceedings of Conference on Language and Technology (CLT 14), Karachi, Pakistan (2014)

3. Lecture Notes in Computer Science;A Ashkan,2009

4. Lecture Notes in Computer Science;M Mendoza,2009

5. Calderón-Benavides, L., González-Caro, C., Baeza-Yates, R.: Towards a deeper understanding of the user’s query intent. In: Workshop on Query Representation and Understanding, SIGIR 2010, Geneva, Switzerland (2010)

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2. Improving User Intent Detection in Urdu Web Queries with Capsule Net Architectures;Applied Sciences;2022-11-21

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