||Information about the International Conferences on Artificial Intelligence and Law between1987 and 2007. Available: www.sigmod.org/sigmod/dblp/db/conf/icail/|
K. Al-Kofahi, A. Tyrrell, A. Vachher, and P. Jackson, "A machine learning approach to prior case retrieval," in Proceedings of the 8th international conference on Artificial intelligence and law, 2001, pp. 88-93.
E. Schweighofer, G. Haneder, A. Rauber, and M. Dittenbach, "Improvement of Vector Representation of Legal Documents with Legal Ontologies," Proceedings of the 5th BIS, Poznan University of Economics Press, Poznan, 2002.
M.-F. Moens and R. Angheluta, "Concept extraction from legal cases: the use of a statistic of coincidence," presented at the Proceedings of the 9th international conference on Artificial intelligence and law, Scotland, United Kingdom, 2003.
T. M. Mitchell, "Machine learning. 1997," Burr Ridge, IL: McGraw Hill, vol. 45, 1997.
C. D. Manning and H. Schütze, Foundations of statistical natural language processing: MIT press, 1999.
M.-F. Moens, Automatic indexing and abstracting of document texts vol. 6: Springer, 2000.
H. Liu and L. Yu, "Toward integrating feature selection algorithms for classification and clustering," Knowledge and Data Engineering, IEEE Transactions on, vol. 17, pp. 491-502, 2005.
M. N. Ribeiro, M. J. R. Neto, and R. B. C. Prudêncio, "Local feature selection in text clustering," in Advances in Neuro-Information Processing, ed: Springer, 2009, pp. 45-52.
Y. Wang and N. Ishii, "Learning Feature Weights for Similarity Measures."
R. Baeza-Yates and B. Ribeiro-Neto, Modern information retrieval. New York Harlow, England: ACM Press ; Addison-Wesley, 1999.
G. Salton and M. J. McGill, "Introduction to modern information retrieval," 1986.
Y.-H. Liu, Y.-L. Chen, and W.-L. Ho, "Predicting associated statutes for legal problems," Information Processing & Management, vol. 51, pp. 194-211, 2015.
G. Salton, "Automatic text processing: The transformation, analysis, and retrieval of," Reading: Addison-Wesley, 1989.
S. E. Robertson and K. S. Jones, "Relevance weighting of search terms," Journal of the American Society for Information science, vol. 27, pp. 129-146, 1976.
N. J. Belkin and W. B. Croft, "Information filtering and information retrieval: Two sides of the same coin?," Communications of the ACM, vol. 35, pp. 29-38, 1992.
A. Smeaton, Information retrieval and hypertext: Springer Science & Business Media, 2012.
J. R. Cowie, Y. Ludovik, H. Molina-Salgado, S. Nirenburg, and S. Sheremetyeva, "Automatic Question Answering," pp. 1548-1557.
M.-F. Moens, "Innovative techniques for legal text retrieval," Artificial Intelligence and Law, vol. 9, pp. 29-57, 2001/03/01 2001.
T. Strzalkowski, Natural language information retrieval vol. 7: Springer Science & Business Media, 1999.
D. D. Lewis and K. S. Jones, "Natural language processing for information retrieval," Communications of the ACM, vol. 39, pp. 92-101, 1996.
J. M. Bradshaw, Software agents: MIT press, 1997.
Y. Yang and X. Liu, "A re-examination of text categorization methods," pp. 42-49.
J. Cowie and Y. Wilks, "Handbook of natural language processing. chapter Information Extraction," ed: Marcel Dekker, New York, 2000.
P. Willett, "Recent trends in hierarchic document clustering: a critical review," Information Processing & Management, vol. 24, pp. 577-597, 1988.
K. S. Jones, "What might be in a summary?," Information retrieval, vol. 93, pp. 9-26, 1993.
E. Schweighofer and A. Geist, "Legal Query Expansion using Ontologies and Relevance Feedback," in LOAIT, 2007, pp. 149-160.
K. D. Ashley and E. L. Rissland, "Ashley,K. D.-But, see, accord: generating blue book citations in HYPO," presented at the Proceedings of the 1st international conference on Artificial intelligence and law, Boston, Massachusetts, USA, 1987.
V. Aleven, "Teaching Case-Based Argumentation Through a Model and Examples," Ph.D. Dissertation, University of Pittsburgh, 1997.
M.-F. Moens, C. Uyttendaele, and J. Dumortier, "Abstracting of Legal Cases: The SALOMON Experience," presented at the Proceedings of the Sixth International Conference on Artificial Intelligence and Law, 1997.
E. L. RISSLAND, K. D. ASHLEY, and L. K. BRANTING, "Case-based reasoning and law," The Knowledge Engineering Review, vol. 20, pp. 293-298, 2005.
C.-L. Liu and T.-C. Chang, "Some Case-Refinement Strategies for Case-Based Criminal Summary Judgments," in Foundations of Intelligent Systems. vol. 2871, N. Zhong, Z. Raś, S. Tsumoto, and E. Suzuki, Eds., ed: Springer Berlin Heidelberg, 2003, pp. 285-291.
C.-L. Liu, C.-T. Chang, and J.-H. Ho, "Classification and clustering for case-based criminal summary judgments," presented at the Proceedings of the 9th international conference on Artificial intelligence and law, Scotland, United Kingdom, 2003.
C.-L. Liu and T.-M. Liao, "Classifying Criminal Charges in Chinese for Web-Based Legal Services," in Web Technologies Research and Development - APWeb 2005. vol. 3399, Y. Zhang, K. Tanaka, J. Yu, S. Wang, and M. Li, Eds., ed: Springer Berlin Heidelberg, 2005, pp. 64-75.
S. Chou and T.-P. Hsing, "Text mining technique for chinese written judgment of criminal case," in Intelligence and Security Informatics, ed: Springer, 2010, pp. 113-125.
A. Wyner, R. Mochales-Palau, M.-F. Moens, and D. Milward, Approaches to text mining arguments from legal cases: Springer, 2010.
M. Truyens and P. Van Eecke, "Legal aspects of text mining," Computer Law & Security Review, vol. 30, pp. 153-170, 4// 2014.
V. V. Raghavan and S. M. Wong, "A critical analysis of vector space model for information retrieval," Journal of the American Society for information Science, vol. 37, pp. 279-287, 1986.
V. Tam, A. Santoso, and R. Setiono, "A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization," in Proceedings of the 16th International Conference on Pattern Recognition, 2002, pp. 235-238.
G. Salton and C. Buckley, "Term-weighting approaches in automatic text retrieval," Information processing & management, vol. 24, pp. 513-523, 1988.
J.-T. Horng and C.-C. Yeh, "Applying genetic algorithms to query optimization in document retrieval," Information processing & management, vol. 36, pp. 737-759, 2000.
S. Brüninghaus and K. D. Ashley, "Improving the representation of legal case texts with information extraction methods," presented at the Proceedings of the 8th international conference on Artificial intelligence and law, St. Louis, Missouri, USA, 2001.
O. Dictionary, "Oxford Advanced Learner’s Dictionary," ed: Oxford University Press, 2000.
J. Osborn and L. Sterling, "JUSTICE: a judicial search tool using intelligent concept extraction," presented at the Proceedings of the 7th international conference on Artificial intelligence and law, Oslo, Norway, 1999.
J. Bing, "Performance of legal text retrieval systems: The curse of boole," Law. Libr. J., vol. 79, p. 187, 1987.
J. P. Dick, "Representation of legal text for conceptual retrieval," in Proceedings of the 3rd international conference on Artificial intelligence and law, 1991, pp. 244-253.
R. Winkels, D. Bosscher, A. Boer, and R. Hoekstra, "Extended conceptual retrieval," Legal Knowledge and Information Systems, pp. 85-98, 2000.
L. T. McCarty, "Intelligent legal information systems: Problems and prospects," Rutgers Computer & Tech. LJ, vol. 9, p. 265, 1982.
M.-F. Moens and R. De Busser, "First steps in building a model for the retrieval of court decisions," International Journal of Human-Computer Studies, vol. 57, pp. 429-446, 2002.
J. Breuker, A. Elhag, E. Petkov, and R. Winkels, "Ontologies for legal information serving and knowledge management," Legal Knowledge and Information Systems. IOS Press, Amsterdam, 2002.
S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman, "Indexing by latent semantic analysis," JASIS, vol. 41, pp. 391-407, 1990.
D. E. Rose and R. K. Belew, "A connectionist and symbolic hybrid for improving legal research," International Journal of Man-Machine Studies, vol. 35, pp. 1-33, 1991.
S. Brüninghaus and K. D. Ashley, "Finding factors: learning to classify case opinions under abstract fact categories," in Proceedings of the 6th international conference on Artificial intelligence and law, 1997, pp. 123-131.
C. M. Rahman, F. A. Sohel, P. Naushad, and S. Kamruzzaman, "Text classification using the concept of association rule of data mining," arXiv preprint arXiv:1009.4582, 2010.
J. Han, M. Kamber, and J. Pei, Data mining: concepts and techniques: Morgan kaufmann, 2006.
C.-c. Su, "Document clustering based on vector space model with concepts as the dimension value," National Central University, Taiwan, 2007.
D. E. Goldberg, Genetic algorithms in search, optimization, and machine learning vol. 412: Addison-wesley Reading Menlo Park, 1989.
J. Heaton, Introduction to neural networks with Java: Heaton Research, Inc., 2008.
H. John, "Holland, Adaptation in natural and artificial systems," ed: MIT Press, Cambridge, MA, 1992.
A. Charnes, W. W. Cooper, and E. Rhodes, "Measuring the efficiency of decision making units," European journal of operational research, vol. 2, pp. 429-444, 1978.
M. J. Farrell, "The measurement of productive efficiency," Journal of the Royal Statistical Society. Series A (General), pp. 253-290, 1957.
S. Godbole and S. Sarawagi, "Discriminative methods for multi-labeled classification," in Advances in Knowledge Discovery and Data Mining, ed: Springer, 2004, pp. 22-30.
K. A. De Jong, "Analysis of the behavior of a class of genetic adaptive systems," 1975.