A survey on intention analysis: successful approaches and open challenges

Author:

Hamroun Mohamed,Gouider Mohamed Salah

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference47 articles.

1. Bach, N.X., Le, C.L., & Tu, M.P. (2017). Cross-domain intention detection in discussion forums. In Proceedings of the Eighth International Symposium on Information and Communication Technology (pp. 173–180): ACM.

2. Banerjee, N., Chakraborty, D., Joshi, A., Mittal, S., Rai, A., & Ravindran, B. (2012). Towards analyzing micro-blogs for detection and classification of real-time intentions. In ICWSM.

3. Beitzel, S.M., Jensen, E.C., Lewis, D.D., Chowdhury, A., & Frieder, O. (2007). Automatic classification of web queries using very large unlabeled query logs. ACM Transactions on Information Systems (TOIS), 25(2), 9.

4. Benczúr, A., Bíró, I., Csalogány, K., & Sarlós, T. (2007). Web spam detection via commercial intent analysis. In Proceedings of the 3rd international workshop on Adversarial information retrieval on the web (pp. 89–92): ACM.

5. Bhargava, A., Celikyilmaz, A., Hakkani-Tür, D., & Sarikaya, R. (2013). Easy contextual intent prediction and slot detection. In 2013 IEEE International conference on acoustics, speech and signal processing (pp. 8337–8341): IEEE.

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