Abstract
This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple-Down Rules, a knowledge acquisition method that proved very successful in practice for building medical expert systems and does not require a knowledge engineer. We implemented our system KAFTAN and demonstrate the applicability of our method to the task of classifying scientific citations. Building cue phrase rules in KAFTAN is easy and efficient. We demonstrate the effectiveness of our approach by presenting experimental results where our resulting classifier clearly outperforms previously built classifiers in the recent literature.
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References
Burstein, J., Marcu, D., Andreyev, S., Chodorow, M.: Towards automatic classification of discourse elements in essays. In: Proceedings of ACL 2001, Toulouse, France (2001)
Edmundson, H.: New methods in automatic extracting. The Association for. Computing Machinery 16(2), 264–285 (1969)
Edwards, G., Compton, P., Malor, R., Srinivasan, A., Lazarus, L.: PEIRS: a pathologist maintained expert system for the interpretation of chemical pathology reports. Pathology 25, 27–34 (1993)
Fellbaum, C. (ed.): WordNet - An electronic lexical database. MIT Press, Cambridge (1998)
Kang, B., Compton, P., Preston, P.: Multiple classification ripple down rules: Evaluation and possibilities. In: Proceedings of the 9th AAAI-sponsored Banff Knowledge Acquisition for Knowledge Based Systems Workshop, pp. 17.1–17.20 (1995)
Lawrence, S., Giles, C.L., Bollacker, K.: Digital libraries and autonomous citation indexing. IEEE Computer 32(6), 67–71 (1999)
Nanba, H., Okumura, M.: Towards multi-paper summarization using reference information. In: Proceedings of the International Joint Conference on Artificial Intelligence, Stockholm, Sweden (1999)
Tuefel, S.: Argumentative Zoning: Information Extraction from Scientific Text. PhD thesis, Edinburgh (1999)
Weinstock, N.: Citation indexes. In: Kent, A. (ed.) Encyclopedia of Library and Information Science, vol. 5, pp. 16–41. Marcel Dekker, New York (1971)
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© 2003 Springer-Verlag Berlin Heidelberg
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Pham, S.B., Hoffmann, A. (2003). A New Approach for Scientific Citation Classification Using Cue Phrases. In: Gedeon, T.(.D., Fung, L.C.C. (eds) AI 2003: Advances in Artificial Intelligence. AI 2003. Lecture Notes in Computer Science(), vol 2903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24581-0_65
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DOI: https://doi.org/10.1007/978-3-540-24581-0_65
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