Kushmerick, N., Weld, D. S., & Doorenbos, R. B. (1997). Wrapper induction for information extraction. In *Proceedings of the Intl. Joint Conference on Artificial Intelligence*
(IJCAI)**, pp. 729–737.**
Lerman, K., Knoblock, C. A., & Minton, S. (2001). Automatic data extraction from lists and tables in web sources. In *Proceedings of the workshop on Advances in Text Extraction* and Mining (IJCAI-2001) **Menlo Park. AAAI Press.**
Lerman, K., & Minton, S. (2000). Learning the common structure of data. In Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-2000) **Menlo Park.** AAAI Press.

Muggleton, S. (1991). Inductive logic programming. *New Generation Computing*, 8**, 295–**
318.

Muslea, I., Minton, S., & Knoblock, C. (1998). Wrapper induction for semistructured webbased information sources.. In Proceedings of the Conference on Automated Learning and Discovery (CONALD).

Muslea, I., Minton, S., & Knoblock, C. A. (2001). Hierarchical wrapper induction for semistructured information sources. *Autonomous Agents and Multi-Agent Systems*, 4, 93–114.

Papoulis, A. (1990). *Probability and Statistics***. Prentice Hall, Englewood Cliffs, NJ.** Quinlan, J. R. (1990). Learning logical definitions from relations.. *Machine Learning*, 5 **(3),**
239–266.

Quinlan, J. R. (1993). *C4.5: Programs for Machine Learning***. Morgan Kaufmann, San**
Mateo, CA.

Riloff, E. (1993). Automatically constructing a dictionary for information extraction tasks.

In *Proceedings of the 11th National Conference on Artificial Intelligence***, pp. 811–816** Menlo Park, CA, USA. AAAI Press.

Soderland, S. (1999). Learning information extraction rules for semi-structured and free text. *Machine Learning*, 34 **(1-3), 233–272.**
Stolcke, A., & Omohundro, S. (1994). Inference of finite-state **probabilistic grammars. In**
Proceedings of the 2nd Int. Colloquium on Grammar Induction, (ICGI-94)**, pp. 106–**
118.

Thollard, F., Dupont, P., & de la Higuera, C. (2000). Probabilistic DFA inference using Kullback-Leibler divergence and minimality. In *Proceedings of the 17th International* Conf. on Machine Learning**, pp. 975–982. Morgan Kaufmann, San Francisco, CA.**