An empirical evaluation of a system for text knowledge acquisition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1319, Issue , 1997, Pages 129-144

  Hahn, Udo ^a   Schnattinger, Klemens ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84957873125     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0026782     Document Type: Conference Paper

References (26)

1. R. Agarwal and M. Tarmiru. Knowledge extraction using content analysis. Knowledge Acquisition, 3(4):421-441, 1991.
2. D. Aha, D. Kibler, and M. Albert. Instance-based learning algorithms. Machine Learning, 6:37-66, 1991.
3. D. Appelt, J. Hobbs, J. Bear, D. Israel, and M. Tyson. FASTUS: A finite-state processor for information extraction from real-world text. In IJCA I'93- Proc. 13th Intl. Joint Conf. on Artificial Intelligence, pages 1172-1178, 1993.
4. F. Gomez and C. Segami. The recognition and classification of concepts in understanding scientific texts. Journal of Experimental and Theoretical Artificial Intelligence, 1:51-77, 1989.
5. U. Hahn, M. Klenner, and K. Schnattinger. Learning from texts: A terminological metareasoning perspective. In S. Wermter, E. Riloff, and G. Scheler, editors, Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, pages 453-468. Berlin: Springer, 1996.
6. U. Hahn, M. Klermer, and K. Schnattinger. A quality-based terminological reasorting model for text knowledge acquisition. In N. Shadbolt, K. O'Hara, and G. Schreiber, editors, EKAW'96 - Proc. 9th European Knowledge Acquisition Workshop, pages 131-146. Berlin: Springer, 1996.
7. U. Hahn, S. Schacht, and N. Br'dker. Concurrent, object-oriented natural language parsing: the PArtSETALK model. International Journal of Human. Computer Studies, 41(1/2):179-222, 1994.
8. U. Hahn, K. Schnattinger, and M. Romacker. Automatic knowledge acquisition from medical texts. In J. Cimino, editor, AMIA '96 - Proc. 1996 AMIA Annual Fall Symposium (formerly SCAMC). Beyond the Superhighway: Exploiting the Internet with Medical Informatics, pages 383-387. Philadelphla/PA: Handy & Beffus, 1996.
9. K. Hands and S. Ishizald. Acquiring knowledge about a relation between concepts. In EKA W'89 - Proc. of the European Knowledge Acquisition Workshop, pages 380-390, 1989.
10. P. Hastings. Implications of an automatic lexical acquisition system. In S. Wermter, E. Riloff, and G. Scheler, editors, Connectionist, Statistical and Symbolic Approaches to Learning in Natural Language Processing, pages 261-274. Berlin: Springer, 1996.
11. R. Kaplan and G. Berry-Rogghe. Knowledge-based acquisition of causal relationships in text. Knowledge Acquisition, 3(3):317-337, 1991.
12. J. Möller. Knowledge acquisition from texts. In EKAW' 88. Proc. 2nd European Knowledge Acquisition Workshop, pages 1-25, 1988.
13. R. Mooney. Integrated learning of words and their underlying concepts. In CogSci' 87. Proc. 9th Annual Conf. of the Cognitive Science Society, pages 974-978, 1987.
14. B. Moulin and D. Rousseau. Designing deontic knowledge bases from regulation texts. Knowledge-Based Systems, 3(2):108-120, 1990.
15. B. Nebel. Reasoning and Revision in Hybrid Representation Systems. Berlin: Springer, 1990.
16. S. Nirenburg and V. Raskin. The subworld concept lexicon and the lexicon management system. Computational Linguistics, 13(3-4):276-289, 1987.
17. L. Rau, P. Jacobs, and U. Zernik. Information extraction and text summarization using linguistic knowledge acquisition. Information Processing and Management, 25(4):419-428, 1989.
18. U. Reimer. Automatic acquisition of terminological knowledge from texts. In ECAI'90 - Proc. 9th European Conf. on Artificial Intelligence, pages 547-549, 1990.
19. L. Ruqian and C. Cungen. Towards knowledge acquisition from domain books. In B. Wielinga, J. Boose, B. Gaines, and M. Schreiber, G. van Someren, editors, Current Trends in Knowledge Acquisition, pages 289-301. Amsterdam: IOS Press, 1990.
20. G. Schmidt and F. Schmalhofer. Case-oriented knowledge acquisition from texts. In B. Wielinga, J. Boose, B. Gaines, and M. Schreiber, G. van Someren, editors, Current Trends in Knowledge Acquisition, pages 302-312. Amsterdam: IOS Press, 1990.
21. K. Schnattinger and U. Hahn. A terminological qualification calculus for preferential reasoning under uncertainty. In KI'96. Proc. 20th Annual German Conf. on Artificial Intelligence, pages 349-362. Berlin: Springer, 1996.
22. K. Schnattinger, U. Hahn, and M. Kleuner. Terminological meta-reasoning by reification and multiple contexts. In EPIA '95- Proc. 7th Portuguese Conf. on Artificial Intelligence, pages 1-16. Berlin: Springer, 1995.
23. M. Shaw and B. Gaines. KITTEN: Knowledge initiation and transfer tools for experts and novices. International Journal of Human-Computer Studies, 27:251-280, 1987.
24. D. Skuce, S. Matwin, B. Tauzovich, F. Oppacher, and S. Szpakowicz. A logic-based knowledge source system for natural language documents. Dataand Knowledge Engineering, 1(3):201-231, 1985.
25. S. Soderland, D. Fisher, J. Aseltine, and W. Lehnert. CRYSTAL: Inducing a conceptual dictionary. In IJCAI'95 - Proc. 14th Intl. Joint Conf. on Artificial Intelligence, pages 1314-1319. San Mateo/CA: Morgan Kaufmarm, 1995.
26. S. Szpakowicz. Semi-automatic acquisition of conceptual structure from technical texts. International Journal on Man-Machine Studies, 33:385-397, 1990.