Abstract
This paper presents KES (Knowledge Extraction and Summarization), a new knowledge-enhanced approach that builds a case memory out of episodic textual narratives. These narratives are considered as generated probabilistically by the structure of the task they describe. The task elements are then used to construct the structure of the case memory. The KES approach is illustrated with examples and an empirical evaluation of a real-world scenario of textual case-based interpretation for a technical domain.
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References
Ashley, K.: Reasoning with cases and Hypotheticals in HYPO. Int. J. Man-Machine Studies 34, 753–796 (1991)
Barzilay, R., Lee, L.: Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization. In: Proc. of NAACL-HLT, pp. 113–120 (2004)
Brüninghaus, S., Ashley, K.: The Role of Information Extraction for Textual CBR. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 74–89. Springer, Heidelberg (2001)
Brüninghaus, S., Ashley, K.: Reasoning with textual cases. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 137–151. Springer, Heidelberg (2005)
Carreras, X., Màrquez, L.: Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling. In: Proc. of 9th Co-NLL, pp. 152–165 (2005)
Cunningham, C., Weber, R., Proctor, J., Fowler, C., Murphy, M.: Investigating Graphs in Textual Case-Based Reasoning. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 573–586. Springer, Heidelberg (2004)
Deerwester, S., et al.: Indexing by Latent Semantic Analysis. Journal of the American Soc. Of Information Science 41(6), 391–407 (1990)
Erk, K., Kowalski, A., Padó, S.: The Salsa Annotation Tool-Demo Description. In: Proc. of the 6th Lorraine-Saarland Workshop, pp. 111–113 (2003)
Gupta, K., Aha, D.: Towards Acquiring Case Indexing Taxonomies from Text. In: Proc. of the 17th FLAIRS Conference, pp. 59–73. AAAI Press, California (2004)
Kolodner, J.: Retrieval and Organizational Strategies in Conceptual Memory: A Computer Model. Lawrence Erlbaum Associates, Mahwah (1984)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Francisco (1993)
Lenz, M.: Case Retrieval Nets as a Model for Building Flexible Information Systems. PhD Thesis, Humboldt Universität zu Berlin (1999)
Mustafaraj, E., Hoof, M., Freisleben, B.: Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles. In: Kao, A., Poteet, S. (eds.) Natural Language Processing and Text Mining, pp. 45–69. Springer, Heidelberg (2006)
Mustafaraj, E., Hoof, M., Freisleben, B.: Probabilistic Task Content Modeling for Episodic Textual Narratives. In: Proc. of 20th FLAIRS, AAAI Press, California (2007)
Patterson, D., Rooney, N., Dobrynin, V., Galushka, M.: Sophia: A novel approach for Textual Case-Based Reasoning. In: Proc. of 19th IJCAI, pp. 15–21 (2005)
Rabiner, L.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proc. of IEEE 77(2), 257–286 (1989)
Schank, R.: Conceptual Information Processing. North Holland (1975)
Schank, R., Abelson, R.: Scripts, Plans, Goals and Undertanding. Lawrence Erlbaum Associates, Mahwah (1977)
Schank, R.: Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge University Press, Cambridge (1982)
Schreiber, G., Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N., Van de Velde, W., Wielinga, B.: Knowledge Engineering and Management: The CommonKADS Methodology. The MIT Press, Cambridge (2000)
Varma, A.: Managing Diagnostic Knowledge in Text Cases. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 622–633. Springer, Heidelberg (2001)
Wiratunga, N., Koychev, I., Massie, S.: Feature Selection and Generalisation for Retrieval of Textual Cases. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 806–820. Springer, Heidelberg (2004)
Wiratunga, N., Lothian, R., Chakraborti, S., Koychev, I.: Textual Feature Construction from Keywords. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 118–128. Springer, Heidelberg (2005)
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Mustafaraj, E., Hoof, M., Freisleben, B. (2007). Knowledge Extraction and Summarization for an Application of Textual Case-Based Interpretation. In: Weber, R.O., Richter, M.M. (eds) Case-Based Reasoning Research and Development. ICCBR 2007. Lecture Notes in Computer Science(), vol 4626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74141-1_36
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DOI: https://doi.org/10.1007/978-3-540-74141-1_36
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