Building effective query classifiers: A case study in self-harm intent detection

International Conference on Information and Knowledge Management, Proceedings

Volumn 19-23-Oct-2015, Issue , 2015, Pages 1735-1738

  KhudaBukhsh, Ashiqur R ^a   Bennett, Paul N ^b   White, Ryen W ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Active learning; Query classification; Self harm

Indexed keywords

ARTIFICIAL INTELLIGENCE;

ACTIVE LEARNING; CLASSIFICATION PERFORMANCE; INTENT DETECTION; POSITIVE EXAMPLES; QUERY CLASSIFICATION; RANDOM SAMPLING; REAL WORLD SETTING; SELF-HARM;

KNOWLEDGE MANAGEMENT;

EID: 84959310453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2806416.2806594     Document Type: Conference Paper

References (12)

1. Attenberg, J., Melville, P., and Provost, F. (2010). A unified approach to active dual supervision for labeling features and examples. In Machine Learning and Knowledge Discovery in Databases, 40-55.
2. Broder, A. (2002). A taxonomy of web search. SIGIR Forum, 36(2): 3-10.
3. Broder, A., Fontoura, M., Gabrilovich, E., Joshi, A., Josifovski, V., and Zhang, T. (2007). Robust classification of rare queries using Web knowledge. SIGIR, 231-238.
4. Broder, A., Ciccolo, P., Gabrilovich, E., Josifovski, V., Metzler, D., Riedel, L., and Yuan, J. (2009). Online expansion of rare queries for sponsored search. WWW, 511-520.
5. Carpineto. C. and Romano, G. (2012). A survey of automatic query expansion in information retrieval. CSUR, 44(1): 1.
6. Guo, Q. and Agichtein, E. (2008). Exploring mouse movements for inferring query intent. SIGIR, 707-708.
7. Jansen, B.J., Booth, D.L., and Spink, A. (2008). Determining the informational, navigational, and transactional intent of Web queries. IP&M, 44(3): 1251-1266.
8. Kang, I.H. and Kim, G.C. (2003). Query type classification for web document retrieval. SIGIR, 64-71.
9. Li, Xiao, Wang, Y.-Y., and Acero, A. (2008). Learning query intent from regularized click graphs. Proc. SIGIR, 339-346.
10. Lee, U., Liu, Z., and Cho, J. (2005). Automatic identification of user goals in web search. WWW, 391-400.
11. Rose, D.E. and Levinson, D. (2004). Understanding user goals in web search. WWW, 13-19.
12. Sindhwani, V., Melville, P., and Lawrence, R.D. (2009). Uncertainty sampling and transductive experimental design for active dual supervision. ICML, 953-960.