|| H. Ahonen, O. Heinonen, M. Klemettinen, and A. I. Verkamo. Applying data mining techniques for descriptive phrases extraction in digital document collections. In Advances in Digital Libraries (ADL’98), Santa Barbara, California, USA, 1998. IEEE Computer Society Press.|
 H. Ahonen. Finding all maximal frequent sequences in text. In ICML99 Workshop, Machine Learning in Text Data Analysis, Bled, Slovenia, 1999.
 H. Ahonen. Knowledge discovery in documents by extracting frequent word sequences. Library Trends, 1999.
 H. Ahonen, O. Heinonen, M. Klemettinen, and A. I. Verkamo. Finding co-occurring Text Phrases by combining sequence and frequent set discovery. IJCAI-1999.
 M.E. Califf, and R.J. Mooney. Relational learning of pattern-match rules for information extraction. In Proceedings of the 16th National Conference on AI, 328-334, 1999.
 M.E. Califf and R.J. Mooney. Workshop on Frontiers of Inductive Logic Programming. IJCAI-97, pp. 7-11.
 L.F. Chien, PAT-Tree Based keyword extraction for Chinese Information Retrieval, SIGIR-1997.
 William W. Cohen, Fast Effective Rule Induction. In Proceedings of the Twelfth International Conference on Machine Learning (ICML-95), p.115-123.
 R. Feldman and I. Dagan. Knowledge discovery in textual databases (KDT). KDD-1995.
 R. Feldman, I. Dagan, and W. Klosgen. Efficient algorithms for mining and manipulating associations in texts. In Cybernetics and Systems, Vol. II, The 13th European Meeting on Cybernetics and Systems Research, Vienna, Austria, Apr. 1996.
 B. Glasgow, et al. MITA: An information extraction approach to analysis of free-form text in life insurance applications
 Huffman, S. Learning information extraction patterns from examples. IJCAI-95 Workshop on new approaches to learning for natural language processing, p.127-142.
 Kim, J. and Moldovan, D. Acquisition of linguistic patterns for Knowledge-based information extraction. IEEE Transactions on Knowledge and Data Engineering 7(5):713-724.
 Krupka, G. Description of the SRA system as used for MUC-6. Proceedings of the Sixth Message Understanding Conference (MUC-6), p.221-235.
 Lehnert, W. 1990. Symbolic/Subsymbolic Sentence Analysis: Exploiting the Best of Two Worlds. In Barnden, J., and Pollack, J., editors 1990, Advances in Connectionist and Neural Computation Theory, Vol. 1. Ablex Publishers, Norwood, NJ. P.135-164.
 B. Lent, R. Agrawal, and R. Srikant. Discovering trends in text databases. KDD-1997, pp. 226-230. AAAI Press.
 U. Y. Nahm and R. J. Mooney. A mutually beneficial integration of data mining and information extraction. AAAI-2000, pp. 627-632, Austin, TX.
 Un Yong Nahm and Raymond J. Mooney. Using information extraction to aid the discovery of prediction rules from texts. KDD-2000, pp. 51-58.
 Un Yong Nahm and Raymond J. Mooney. A mutually beneficial integration of data mining and information extraction. National Conference on Artificial Intelligence 2000, pages 627-632.
 Un Yong Nahm and Raymond J. Mooney. Text Mining and Information Extrction. Submitted to the AAAI 2002.
 M. Rajman and R. Besancon. Text Mining – Knowledge extraction from unstructured textual data. IFCS-1998.
 Ellen Riloff. Automatically Constructing a Dictionary for Information Extraction Tasks. In Proceeding of the Eleventh National Conference on Artificial Intelligence, 1993, AAAI Press/MIT Press, p.811-816.
 Ellen Riloff. Automatically Generating Extraction Pattern from Untagged Text. In Proceeding of the Thirteenth Conference on Artificial Intelligence (AAAI96), pp. 1044-1049.
 Ellen Riloff. Information Extraction as a stepping stone toward story understanding. In Understanding Language: Computational Models of Reading, edited by Ashwin Ram and Kenneth Moorman, The MIT Press.
 Soderland, S.; Fisher, D.; Aseltine, J.; and Lehnert, W. Crystal: Inducing a conceptual dictionary. Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI-95),p.1314-1319.
 Soderland, S. Learning to extract text-based information from the world wide web. Proceedings of Third International Conference on Knowledge Discovery and Data Mining,KDD97.
 R. Yangarber, Ralph Grishman, Pasi Tapanainen, and Silja Huttunen. Unsupervised discovery of scenario-level patterns for information extraction. Applied Natural Language Processing, 2000.