Abstract
Our customisable semantic analysis system implements a form of knowledge acquisition. It automatically extracts syntactic units from a text and semi-automatically assigns semantic information to pairs of units. The user can select the type of units of interest and the list of semantic relations to be assigned. The system examines parse trees to decide if there is interaction between concepts that underlie syntactic units. Memory-based learning proposes the most likely semantic relation for each new pair of syntactic units that may be semantically linked. We experiment with several configurations, varying the syntactic analyzer and the list of semantic relations.
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References
Barker, K., Delisle, S., Szpakowicz, S.: Test-driving TANKA: Evaluating a semi-automatic system of text analysis for knowledge acquisition. In: Canadian AI, Vancouver, BC, Canada, pp. 60–71 (1997)
Baker, C.F., Fillmore, C.J., Lowe, J.B.: The Berkeley FrameNet project. In: COLING-ACL, Montreal, Canada, pp. 86–90 (1998)
Rosario, B., Hearst, M.: Classifying the semantic relations in noun-compounds via a domain specific hierarchy. In: EMNLP, Pittsburg, PA, USA, pp. 82–90 (2001)
Gomez, F.: A representation of complex events and processes for the acquisition of knowledge from text. Kowledge-Based Systems 10, 237–251 (1998)
Fillmore, C., Atkins, B.T.: FrameNet and lexicographic relevance. In: LREC, Granada, Spain (1998)
Gildea, D., Jurafsky, D.: Automatic labeling of semantic roles. Computational Linguistics 28, 245–288 (2002)
Hull, R.D., Gomez, F.: Semantic interpretation of nominalizations. In: 13th National Conference on Artificial Intelligence, Portland, Oregon, USA, pp. 1062–1068 (1996)
Rosario, B., Hearst, M., Fillmore, C.: The descent of hierarchy and selection in relational semantics. In: ACL, Philadelphia, PA, USA (2002)
Clark, P., Porter, B.: Building concept reprezentations from reusable components. In: AAAI, Providence, Rhode Island, pp. 367–376 (1997)
Fan, J., Barker, K., Porter, B., Clark, P.: Representing roles and purpose. In: KCAP, pp. 38–43 (2001)
Barker, K.: Semi-Automatic Recognition of Semantic Relationships in English Technical Texts. PhD thesis, University of Ottawa, Department of Computer Science (1998), http://www.cs.utexas.edu/users/kbarker/thesis
Kilgarriff, A., Tugwell, D.: WORD SKETCH: Extraction and display of significant collocations for lexicography. In: Workshop on Collocation: Computational Extraction, Analysis and Exploitation, 39th ACL & 10th EACL, Toulouse, France, pp. 32–38 (2001)
Lin, D., Pantel, P.: Concept discovery from text. In: COLING, Taipei, Taiwan, pp. 577–583 (2002)
Pantel, P., Lin, D.: Discovering word senses from text. In: SIGKDD, Edmonton, Canada, pp. 613–619 (2002)
Daelemans, W., van den Bosch, A., Zavrel, J.: Forgetting exceptions is harmful in language learning. Machine Learning 34, 11–34 (1999)
Delisle, S., Copeck, T., Szpakowicz, S., Barker, K.: Pattern matching for case analysis: A computational definition of closeness. In: ICCI, Sudbury, ON, Canada, pp. 310–315 (1993)
Larrick, N.: Junior Science Book of Rain, Hail, Sleet and Snow. Garrard Publishing Company, Champaign (1961)
Delisle, S., Szpakowicz, S.: Realistic parsing: Practical solutions of difficult problems. In: PACLING, Brisbane, Queensland, Australia (1995)
Temperley, D., Sleator, D., Lafferty, J.: The LINK parser (1998), http://www.link.cs.cmu.edu/link
Chanod, J.P., Ait-Mokhtar, S., Roux, C.: Xerox Incremental Parser, ongoing research. Xerox Research Centre Europe (2004)
Nastase, V., Szpakowicz, S.: Exploring noun-modifier semantic relations. In: International Workshop on Computational Semantics, Tillburg, Netherlands (2003)
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Nastase, V., Szpakowicz, S. (2005). Customisable Semantic Analysis of Texts. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_34
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DOI: https://doi.org/10.1007/978-3-540-30586-6_34
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