TOURIÑÁN LÓPEZ, J. M. (2015) Pedagogía mesoaxiológica y concepto de educación. Santiago de Compostela, Editorial Andavira
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Alves, A., Antunes, B., Pereira, F., and Bento, C., 2009. Semantic Enrichment of Plac-es: Ontology Learning from Web, Int. J. Know.-Based Intell. Eng. Syst. 13 (1) 19--30. http://dx.doi.org/10.3233/KES-2009-0170
Brill, E., 1994. Some Advances in Transformation-Based Part of Speech Tagging, in: In Proceedings of the Twelfth National Conference on Articial Intelligence, 722--727.
Escovedo, T., Cruz, A., Koshiyama, A., Melo, R., Vellasco, M., 2014. NEVE++: A Neuro-Evolutionary Unlimited Ensemble for Adaptive Learning, in: Proceedings of the International Joint Conference on Neural Networks, IJCNN '14, Beijing, China, 3331--3338.
Finkel, J., Grenager, T., Manning, C., 2005. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling, in: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, ACL '05, Associa-tion for Computational Linguistics, Stroudsburg, PA, USA, 363--370. http://dx.doi.org/10.3115/1219840.1219885
Grineva, M., Grinev, M., and Lizorkin, D., 2009. Extracting Key Terms from Noisy and Multitheme Documents, in: Proceedings of the 18th International Conference on World Wide Web, WWW '09, ACM, New York, NY, USA, 661--670. http://dx.doi.org/10.1145/1526709.1526798
Hulth, A., 2008. Automatic Keyword Extraction: Combining Machine Learning and Natural Language Processing, VDM Verlag, Saarbrücken, Germany.
Hulth, A, 2003. Improved Automatic Keyword Extraction Given More Linguistic Knowledge, in: Proceedings of the 2003 Conference on EmpiricalMethods in Natural Language Processing, Empirical Methods in NLP, Association for Com-putational Linguistics, Stroudsburg, PA, USA, 216--223. http://dx.doi.org/10.3115/1119355.1119383
Kim, S., Medelyan, O., Kan, M.-Y., and Baldwin, T., 2010. SemEval-2010 Task 5: Au-tomatic Keyphrase Extraction from Scientic Articles, in: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval '10, Association for Computational Linguistics, Stroudsburg, PA, USA, 21--26.
Krapivin, M., Autaeu, A., Marchese, M., 2009. Large dataset for keyphrases extraction, Tech. Rep. Tech. Report DISI-09-055, University of Trento, Italy.
Kuncheva, L., 2004. Combining Pattern Classifiers: Methods and Algorithms, Wiley-Interscience. http://dx.doi.org/10.1002/0471660264
Laerty, J., McCallum, A., and Pereira, F., 2001. Conditional Random Fields: Probabilis-tic Models for Segmenting and Labeling Sequence Data, in: Proceedings of the Eighteenth International Conference on Machine Learning, ICML '01, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 282--289.
Li, Z., Zhou, D., Juan, Y.-F., and Han, J., 2010. Keyword Extraction for Social Snip-pets, in: Proceedings of the 19th International Conference onWorld Wide Web, WWW '10, ACM, New York, NY, USA, 1143--1144.
Luhn, H., 1958. The automatic creation of literature abstracts, IBM J. Res. Dev. 2, 159--165. http://dx.doi.org/10.1147/rd.22.0159
Matsuo, Y., and Ishizuka, M., 2004. Keyword Extraction from a Single Document using Word Co-Occurrence Statistical Information, International Journal on Articial In-telligence Tools 13 (1) 157--169. http://dx.doi.org/10.1142/S0218213004001466
Medelyan, O., Frank, E., and Witten, I., 2009. Human-competitive Tagging Using Au-tomatic Keyphrase Extraction, in: Proceedings of the 2009 Conference on Empiri-cal Methods in Natural Language Processing: Volume 3 - Volume 3, EMNLP '09, Association for Computational Linguistics, Stroudsburg, PA, USA, 1318--1327.
Medelyan, O., and Witten, I., 2006. Thesaurus Based Automatic Keyphrase Indexing, in: Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '06, ACM, New York, NY, USA, 296--297. http://dx.doi.org/10.1145/1141753.1141819
Mihalcea, R., and Tarau, P., 2004. Textrank: Bringing order into textl, in: Conference on Empirical Methods in Natural Language Processing (EMNLP), 404--411.
Plas, L., Pallotta, V., Rajman, M., Ghorbel, H, 2004. Automatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and Word-Net, CoRR cs.CL/0410062.
Peng, F., and McCallum, A., 2006. Information Extraction from Research Papers Using Conditional Random Fields, Inf. Process. Manage. 42 (4) 963--979. http://dx.doi.org/10.1016/j.ipm.2005.09.002
Ramshaw, L., and Marcus, M., 1999. Text Chunking using Transformation-Based Learning, CoRR .
Robertson, S., 2004. Understanding inverse document frequency: On theoretical argu-ments for IDF, Journal of Documentation 60, 503--520. http://dx.doi.org/10.1108/00220410410560582
Rose, S., Engel, D., Cramer, N., Cowley, W., 2010. Automatic Keyword Extraction from Individual Documents, in: M. W. Berry, J. Kogan (Eds.), Text Mining. Ap-plications and Theory, John Wiley and Sons, Ltd, 1—20. http://dx.doi.org/10.1002/9780470689646.ch1
Sarkar, K., Nasipuri, M., and Ghose, S., 2010. A New Approach to Keyphrase Extrac-tion Using Neural Networks, CoRR abs/1004.3274.
Sutton, C., and McCallum, A., 2007. An Introduction to Conditional Random Fields for Relational Learning, in: L. Getoor, B. Taskar (Eds.), Introduction to Statistical Relational Learning, MIT Press.
Timonen, M., Toivanen, T., Teng, Y., Chen, C., and He, L., 2012. Informativeness-based Keyword Extraction from Short Documents, in: A. L. N.
Fred, J. Filipe, A. L. N. Fred, J. Filipe (Eds.), KDIR, SciTePress, 411--421.
Turney, P., 2000. Learning Algorithms for Keyphrase Extraction, Information Retrieval 2 (4) 303--336, ISSN 1386-4564.
Wan, X., and Xiao, J., 2008. Single Document Keyphrase Extraction Using Neighbor-hood Knowledge, in: AAAI, 855--860.
Wang, J., Peng, H., Hu, J.-S., and Zhang, J., 2006. Ensemble learning for keyphrases extraction from scientic document, in: J. Wang, Z. Yi, J. M.
Zurada, B.-L. Lu, H. Yin (Eds.), ISNN'06, Lecture Notes in Computer Science, Springer, Berlin, 1267--1272.
Witten, I., Paynter, G., Frank, E., Gutwin, C., and Nevill-Manning, C., 1999. KEA: Practical Automatic Keyphrase Extraction, in: Proceedings of the Fourth ACM Conference on Digital Libraries, DL '99, ACM, New York, NY, USA, 254--255. http://dx.doi.org/10.1145/313238.313437
Yu, F., Xuan, H., and Zheng, D., 2012. Key-Phrase Extraction Based on a Combination of CRF Model with Document Structure, in: 8th Int. Conference on Computation-al Intelligence and Security, IEEE, 406--410. http://dx.doi.org/10.1109/cis.2012.97
Zhang, C., 2009. Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents, in: R. Huang, Q. Yang, J. Pei, J.
Gama, X. Meng, X. Li (Eds.), Advanced Data Mining and Applications, vol. 5678 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, 745--754. http://dx.doi.org/10.1007/978-3-642-03348-3_79
Zhang, C., Wang, H., Liu, Y., Wu, D., Liao, Y., and Wang, B., 2008. Automatic key-word extraction from documents using conditional random fields, Journal of Computational Information Systems 4 (3) 1169—1180.
Brill, E., 1994. Some Advances in Transformation-Based Part of Speech Tagging, in: In Proceedings of the Twelfth National Conference on Articial Intelligence, 722--727.
Escovedo, T., Cruz, A., Koshiyama, A., Melo, R., Vellasco, M., 2014. NEVE++: A Neuro-Evolutionary Unlimited Ensemble for Adaptive Learning, in: Proceedings of the International Joint Conference on Neural Networks, IJCNN '14, Beijing, China, 3331--3338.
Finkel, J., Grenager, T., Manning, C., 2005. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling, in: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, ACL '05, Associa-tion for Computational Linguistics, Stroudsburg, PA, USA, 363--370. http://dx.doi.org/10.3115/1219840.1219885
Grineva, M., Grinev, M., and Lizorkin, D., 2009. Extracting Key Terms from Noisy and Multitheme Documents, in: Proceedings of the 18th International Conference on World Wide Web, WWW '09, ACM, New York, NY, USA, 661--670. http://dx.doi.org/10.1145/1526709.1526798
Hulth, A., 2008. Automatic Keyword Extraction: Combining Machine Learning and Natural Language Processing, VDM Verlag, Saarbrücken, Germany.
Hulth, A, 2003. Improved Automatic Keyword Extraction Given More Linguistic Knowledge, in: Proceedings of the 2003 Conference on EmpiricalMethods in Natural Language Processing, Empirical Methods in NLP, Association for Com-putational Linguistics, Stroudsburg, PA, USA, 216--223. http://dx.doi.org/10.3115/1119355.1119383
Kim, S., Medelyan, O., Kan, M.-Y., and Baldwin, T., 2010. SemEval-2010 Task 5: Au-tomatic Keyphrase Extraction from Scientic Articles, in: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval '10, Association for Computational Linguistics, Stroudsburg, PA, USA, 21--26.
Krapivin, M., Autaeu, A., Marchese, M., 2009. Large dataset for keyphrases extraction, Tech. Rep. Tech. Report DISI-09-055, University of Trento, Italy.
Kuncheva, L., 2004. Combining Pattern Classifiers: Methods and Algorithms, Wiley-Interscience. http://dx.doi.org/10.1002/0471660264
Laerty, J., McCallum, A., and Pereira, F., 2001. Conditional Random Fields: Probabilis-tic Models for Segmenting and Labeling Sequence Data, in: Proceedings of the Eighteenth International Conference on Machine Learning, ICML '01, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 282--289.
Li, Z., Zhou, D., Juan, Y.-F., and Han, J., 2010. Keyword Extraction for Social Snip-pets, in: Proceedings of the 19th International Conference onWorld Wide Web, WWW '10, ACM, New York, NY, USA, 1143--1144.
Luhn, H., 1958. The automatic creation of literature abstracts, IBM J. Res. Dev. 2, 159--165. http://dx.doi.org/10.1147/rd.22.0159
Matsuo, Y., and Ishizuka, M., 2004. Keyword Extraction from a Single Document using Word Co-Occurrence Statistical Information, International Journal on Articial In-telligence Tools 13 (1) 157--169. http://dx.doi.org/10.1142/S0218213004001466
Medelyan, O., Frank, E., and Witten, I., 2009. Human-competitive Tagging Using Au-tomatic Keyphrase Extraction, in: Proceedings of the 2009 Conference on Empiri-cal Methods in Natural Language Processing: Volume 3 - Volume 3, EMNLP '09, Association for Computational Linguistics, Stroudsburg, PA, USA, 1318--1327.
Medelyan, O., and Witten, I., 2006. Thesaurus Based Automatic Keyphrase Indexing, in: Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '06, ACM, New York, NY, USA, 296--297. http://dx.doi.org/10.1145/1141753.1141819
Mihalcea, R., and Tarau, P., 2004. Textrank: Bringing order into textl, in: Conference on Empirical Methods in Natural Language Processing (EMNLP), 404--411.
Plas, L., Pallotta, V., Rajman, M., Ghorbel, H, 2004. Automatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and Word-Net, CoRR cs.CL/0410062.
Peng, F., and McCallum, A., 2006. Information Extraction from Research Papers Using Conditional Random Fields, Inf. Process. Manage. 42 (4) 963--979. http://dx.doi.org/10.1016/j.ipm.2005.09.002
Ramshaw, L., and Marcus, M., 1999. Text Chunking using Transformation-Based Learning, CoRR .
Robertson, S., 2004. Understanding inverse document frequency: On theoretical argu-ments for IDF, Journal of Documentation 60, 503--520. http://dx.doi.org/10.1108/00220410410560582
Rose, S., Engel, D., Cramer, N., Cowley, W., 2010. Automatic Keyword Extraction from Individual Documents, in: M. W. Berry, J. Kogan (Eds.), Text Mining. Ap-plications and Theory, John Wiley and Sons, Ltd, 1—20. http://dx.doi.org/10.1002/9780470689646.ch1
Sarkar, K., Nasipuri, M., and Ghose, S., 2010. A New Approach to Keyphrase Extrac-tion Using Neural Networks, CoRR abs/1004.3274.
Sutton, C., and McCallum, A., 2007. An Introduction to Conditional Random Fields for Relational Learning, in: L. Getoor, B. Taskar (Eds.), Introduction to Statistical Relational Learning, MIT Press.
Timonen, M., Toivanen, T., Teng, Y., Chen, C., and He, L., 2012. Informativeness-based Keyword Extraction from Short Documents, in: A. L. N.
Fred, J. Filipe, A. L. N. Fred, J. Filipe (Eds.), KDIR, SciTePress, 411--421.
Turney, P., 2000. Learning Algorithms for Keyphrase Extraction, Information Retrieval 2 (4) 303--336, ISSN 1386-4564.
Wan, X., and Xiao, J., 2008. Single Document Keyphrase Extraction Using Neighbor-hood Knowledge, in: AAAI, 855--860.
Wang, J., Peng, H., Hu, J.-S., and Zhang, J., 2006. Ensemble learning for keyphrases extraction from scientic document, in: J. Wang, Z. Yi, J. M.
Zurada, B.-L. Lu, H. Yin (Eds.), ISNN'06, Lecture Notes in Computer Science, Springer, Berlin, 1267--1272.
Witten, I., Paynter, G., Frank, E., Gutwin, C., and Nevill-Manning, C., 1999. KEA: Practical Automatic Keyphrase Extraction, in: Proceedings of the Fourth ACM Conference on Digital Libraries, DL '99, ACM, New York, NY, USA, 254--255. http://dx.doi.org/10.1145/313238.313437
Yu, F., Xuan, H., and Zheng, D., 2012. Key-Phrase Extraction Based on a Combination of CRF Model with Document Structure, in: 8th Int. Conference on Computation-al Intelligence and Security, IEEE, 406--410. http://dx.doi.org/10.1109/cis.2012.97
Zhang, C., 2009. Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents, in: R. Huang, Q. Yang, J. Pei, J.
Gama, X. Meng, X. Li (Eds.), Advanced Data Mining and Applications, vol. 5678 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, 745--754. http://dx.doi.org/10.1007/978-3-642-03348-3_79
Zhang, C., Wang, H., Liu, Y., Wu, D., Liao, Y., and Wang, B., 2008. Automatic key-word extraction from documents using conditional random fields, Journal of Computational Information Systems 4 (3) 1169—1180.
TOURIÑÁN LÓPEZ, J. M. (2015) Pedagogía mesoaxiológica y concepto de educación. Santiago de Compostela, Editorial Andavira. (2016). Teoría de la Educación. Revista Interuniversitaria, 28(1), 263-264. https://doi.org/10.14201/14779
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