Have a personal or library account? Click to login
Natural Language Generation and Semantic Technologies Cover

Natural Language Generation and Semantic Technologies

Cybernetics and Information Technologies
Volume 14 (2014): Issue 2 (June 2014)
By: Kamenka Staykova  
Open Access
|Jul 2014

References

  1. 1. Bateman, J. A. Natural Language Generation: An Introduction and Open-Ended Review of the State of the Art, 2002.
    Search in Google Scholar
  2. 2. Bateman, J. A. Enabling Technology for Multilingual Natural Language Generation: The KPML Development Environment. - Natural Language Engineering, Vol. 3, 1997, No 1, 15-55.10.1017/S1351324997001514
    Search in Google Scholar
  3. 3. Bateman, J. A., E. Teich. Selective Information Presentation in an Integrated Publication System: An Application of Genre-Driven Text Generation. - Information Processing and Management, Vol. 31, 1995, No 5, 753-767.10.1016/0306-4573(95)00053-J
    Search in Google Scholar
  4. 4. Bateman, J., R. Kasper, J. Moore, R. Whitney. A General Organization of Knowledge for Natural Language Processing: The Penman Upper Model. Technical Report, USC/Information Sciences Institute, Marina del Rey, California, 1990.
    Search in Google Scholar
  5. 5. Bateman, J. A., B. Magnini, G. Fabris. The Generalized Upper Model Knowledge Base: Organization and Use, in Towards Very Large Knowledge Bases. N. Mars, Ed. Amsterdam, IOS Press, 1995, 60-72.
    Search in Google Scholar
  6. 6. Bateman, J., E. Teich, I. Kruijff-Korbayova, G.-J. Kruijff, S. Sharoff, H. Skoumalová. Resources for Multilingual Text Generation in Three Slavic Languages. -In: Proceedings of 2nd International Conference on Language Resources and Evaluation (LREC'2000), European Language Resources Association (ELRA), Athens, Greece, 2000, 1763-1768.
    Search in Google Scholar
  7. 7. Bateman, J.A., J. Hois, R. Ross, T. Tenbrink. A Linguistic Ontology of Space for Natural Language Processing. - Artificial Intelligence, Vol. 174, 2010, No 14, 1027-1071.10.1016/j.artint.2010.05.008
    Search in Google Scholar
  8. 8. Berners-Lee, T., J. Hendler, O. Lassila. The Semantic Web. - Scientific American, 2001, 29-37.10.1038/scientificamerican0501-34
    Search in Google Scholar
  9. 9. Bontcheva, K. Generating Tailored Textual Summaries from Ontologies. In the Semantic Web: Research and Applications. - In: Proceedings of 2nd European Semantic Web Conference (ESWC), Heraklion, Crete, Greece, 2005, 531-545.
    Search in Google Scholar
  10. 10. Bontcheva, D. K., H. Cunningham. The Semantic Web: A New Opportunity and Challenge for Human Language Technology. - In: Proceedings of the Workshop on Human Language Technology for the Semantic Web and Web Services, in Conjunction with the Second International Semantic Web Conference (ISWC'03), Florida, USA, 2003, 89-96.
    Search in Google Scholar
  11. 11. Bontcheva, K., Y. Wilks. Automatic Report Generation from Ontologies: The MIAKT Approach. In Natural Language Processing and Information Systems. - In: Proceedings of 8th International Conference on Applications of Natural Language to Information Systems, 2004. Lecture Notes in Computer Science, Vol. 3136. Springer, 324-335.
    Search in Google Scholar
  12. 12. Bouayad-Agha, N., G. Casamayor, L. Wanner. Natural Language Generation in the Context of the Semantic Web. - Journal the Semantic Web - Interoperability, Usability, Applicability. IOS Press, 2013. http://www.semantic-web-journal.net/content/natural-language-generation-context-semantic-web10.3233/SW-130125
    Search in Google Scholar
  13. 13. Bouttaz, T., E. Pignotti, C. Mellish, P. Edwards. A Policy-Based Approach to Context Dependent Natural Language Generation. - In: Proceedings of 13th European Workshop on Natural Language Generation (ENLG'2011), Nancy, France, 2011, 151-157.
    Search in Google Scholar
  14. 14. Cahill, L., C. Doran, R. Evans, R. Kibble, C. Mellish, D. Paiva, M. Reape, D. Scott, N. Tipper. Enabling Resource Sharing in Language Generation: An Abstract Reference Architecture. - In: Proceedings of 2nd International Conference on Language Resources and Evaluation, Athens, Greece, 2000, 155-159.
    Search in Google Scholar
  15. 15. Cimiano, P., S. Kopp. Accessing the Web of Data through Embodied Virtual Characters. -Semantic Web 1, Vol. 1-2, 2010, 83-88.10.3233/SW-2010-0008
    Search in Google Scholar
  16. 16. Dai, Y., S. Zhang, J. Chen, T. Chen, W. Zhang. Semantic Network Language Generation Based on a Semantic Networks Serialization Grammar. - World Wide Web, Vol. 13, No 3, 307-341.10.1007/s11280-010-0087-z
    Search in Google Scholar
  17. 17. Dannells, D., M. Damova, R. Enache, M. Cheche v. Multilingual Online Generation from Semantic Web Ontologies. - In: Proceedings of 21st International Conference Companion on World Wide Web, New York, USA, 2012, WWW'12 Companion, ACM, 239-242.10.1145/2187980.2188018
    Search in Google Scholar
  18. 18. Dorr, B. J., E. H. Hovy, L. S. Levin. Machine Translation: Interlingual Methods in Natural Language Processing and Machine Translation. - In: Encyclopedia of Language and Linguistics. 2nd Ed. Amsterdam, Elsevier, Ltd., 2004.
    Search in Google Scholar
  19. 19. Elhadad, M. Types in Functional Unification Grammars. - In: Proceedings of 28th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 1990, 157-164.10.3115/981823.981843
    Search in Google Scholar
  20. 20. Elhadad, M., J. Robin. Controlling Content Realization with Functional Unification Grammars. - In: R. Dale, E. H. Hovy, D. Rösner and O. Stock, Eds. Aspects of Automated Natural Language Generation: 6th International Workshop on Natural Language Generation. Berlin/Heidelberg, Springer, 1992, 89-104.
    Search in Google Scholar
  21. 21. Galanis, D., I. Androutsopoulos. Generating Multilingual Descriptions from Linguistically Annotated OWL Ontologies: the Natural OWL System. - In: Proceedings of the 11th European Workshop on Natural Language Generation, ENLG'07, 2007, 143-146.
    Search in Google Scholar
  22. 22. Halliday, M. A. K. Language as Social Semiotic: The Social Interpretation of Language and Meaning. London, Edward Arnold, 1978.
    Search in Google Scholar
  23. 23. Halliday, M.A.K. Introduction to Functional Grammar. Second Ed. London, Edward Arnold, 1994.
    Search in Google Scholar
  24. 24. Henschel, R. Merging the English and the German Upper Model. Darmstadt, Germany, GMD/ Institute fur Integriente Publikation-and Informations Systeme, 1993.10.3115/991250.991275
    Search in Google Scholar
  25. 25. Hovy, E. H., J. Lavid, E. Maier, V. Mittal, C. Paris. Employing Knowledge Resources in a New Text Planner Architecture. - In: R. Dale, E. Hovy, D. Rosner and O. Stock, Eds. Aspects of Automated Natural Language Generation, Berlin, Springer, 1992, 57-72.10.1007/3-540-55399-1_5
    Search in Google Scholar
  26. 26. Joshi, A. K. The Relevance of Tree Adjoining Grammar to Generation. - In: G. Kempen, Ed. Natural Language Generation: Recent Advances in Artificial Intelligence, Psychology, and Linguistics. Boston/Dordrecht, Kluwer Academic Publishers, 1987.
    Search in Google Scholar
  27. 27. Krahmer, E., S. Erk, A. Verleg. Graph-Based Generation of Referring Expressions. -Computational Linguistics, Vol. 29, 2003, No 1, 53-72.10.1162/089120103321337430
    Search in Google Scholar
  28. 28. Kruij ff, G.-J., E. Teich, J. Bateman, I. Kruij ff-K orbayova, H. Skoumalova, S. Sharoff, L. Sokolova, T. Hartley, K. Staykova, J. Hana. A Multilingual System for Text Generation in Three Slavic Languages. - In: Proceedings of 18th International Conference on Computational Linguistics (COLING'2000), Saarbrücken, Germany, 2000, 474-480.10.3115/990820.990889
    Search in Google Scholar
  29. 29. Lavoie, B., O. Rambow. A Fast and Portable Realizer for Text Generation Systems. - In: Proceedings of 5th Conference on Applied Natural Language Processing, Association for Computational Linguistics, Washington, D. C., 1997, 265-268.10.3115/974557.974596
    Search in Google Scholar
  30. 30. Mann, W. C. An Overview of the PENMAN Text Generation System. - In: Proceedings of the National Conference on Artificial Intelligence, AAAI, 1983, 261-265.
    Search in Google Scholar
  31. 31. Mann, W. C., C. M. I. M. Matthiessen. Demonstration of the Nigel Text Generation Computer Program. - In: J. D. Benson and W. S. Greaves, Eds. Systemic Perspectives on Discourse. Vol. 1. Ablex, Norwood, New Jersey, 1985, 50-83.
    Search in Google Scholar
  32. 32. Mann, W. C., S. A. Thompson. Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. - Text, Vol. 8, No 3, 243-281.10.1515/text.1.1988.8.3.243
    Search in Google Scholar
  33. 33. Martin, J. R. English Text: Systems and Structure. Benjamins, Amsterdam, 1992.10.1075/z.59
    Search in Google Scholar
  34. 34. Masolo, C., S. Borgo, A. Gangemi, N. Guarino, A. Oltramari. Wonder Web Deliverable D18, Ontology Library (final), 2009. http://www.academia.edu/2663572/WonderWeb_Deliverable_D18_Ontology_Library_ final_.
    Search in Google Scholar
  35. 35. McDonald, D. D. Description Directed Control: Its Implications for Natural Language Generation. - Computers and Mathematics, Vol. 9, 1983, No 1, 111-129.10.1016/0898-1221(83)90011-1
    Search in Google Scholar
  36. 36. McKeo wn, K. Text Generation: Using Discourse Strategies and Focus Constraints to Generate Natural Language Text. Cambridge, England, Cambridge University Press, 1985.
    Search in Google Scholar
  37. 37. Mel'cuk, I. Dependency Syntax: Theory and Practice. Albany, SUNY Press, 1988.
    Search in Google Scholar
  38. 38. Mellish, C., J. Pan. Finding Subsumers for Natural Language Presentation. - In: Proceedings of the International Workshop on Description Logics, The Lake District, England, 2006, 127-134.
    Search in Google Scholar
  39. 39. Mellish, C., J. Pan. Natural Language Directed Inference from Ontologies. - Artificial Intelligence, Vol. 172, June 2008, No 10, 1285-1315.10.1016/j.artint.2008.01.003
    Search in Google Scholar
  40. 40. Meteer, M. W. Expressibility and the Problem of Efficient Text Planning. London, Pinter Publishers, 1992.
    Search in Google Scholar
  41. 41. Nirenburg, S., V. Lesser, E. Nyberg. Controlling a Language Generation Planner. - In: Proceedings of 11th International Joint Conference on Artificial Intelligence, 1989, 1524-1530.
    Search in Google Scholar
  42. 42. Polikoff, I., D. Allemang. Semantic Technology, Top Quadrant Technology Briefing. V1.1. September 2003. https://lists.oasis-open.org/archives/regrep-semantic/200402/pdf00000.pdf
    Search in Google Scholar
  43. 43. O' Donnell, M., C. Mellish, J. Oberlander, A. Knott Ilex. An Architecture for a Dynamic Hypertext Generation System. - Natural Language Engineering, Vol. 7, 2001, 225-250.10.1017/S1351324901002698
    Search in Google Scholar
  44. 44. Polguére, A. Everything Has Not Been Said about Interlinguae: The Case of Multilingual Text Generation Systems. - In: Proceedings of Natural Language Processing Pacific Rim Symposium, Singapore, 1991.
    Search in Google Scholar
  45. 45. Power, R. Complexity Assumptions in Ontology Verbalisation. - In: Proceedings of 48th Annual Meeting of the Association for Computational Linguistics (ACL'2010), Stroudsburg, PA, USA, 2010, ACLShort'10, 132-136.
    Search in Google Scholar
  46. 46. Reiter, E. NLG vs. Templates. - In: Proceedings of 5th European Workshop on Natural Language Generation, Faculty of Social and Behavioural Sciences, University of Leiden, Leiden, The Netherlands, 1995, 95-105.
    Search in Google Scholar
  47. 47. Reiter, E., R. Dale. Building Natural Language Generation Systems (Studies in Natural Language Processing). Cambridge University Press, 2000.10.1017/CBO9780511519857
    Search in Google Scholar
  48. 48. Reiter, E., C. Mellish, J. Levine. Automatic Generation of Technical Documentation. -Applied Artificial Intelligence, Vol. 9, 1995.10.1080/08839519508945476
    Search in Google Scholar
  49. 49. Robin, J. Evaluating the Portability of Revision Rules for Incremental Summary Generation. -In: Proceedings of 34th. Annual Meeting of Association for Computational Linguistics (ACL'96)', Santa Cruz, CA, 1996.10.3115/981863.981891
    Search in Google Scholar
  50. 50. Shieber, S. M., G. Van Noord, F. C. N. Pereira, R. C. Moore. Semantic Head-Driven Generation. - Computational Linguistics, Vol. 16, 1990, No 1, 30-42.
    Search in Google Scholar
  51. 51. Staykova, K., G. Agre. Use of Ontology-to-Text-Relation for Creating Semantic Annotation. - In: Proceedings of 13th International Conference on Computer Systems and Technologies (CompSysTech'12), 22-23 June 2012, Ruse, Bulgaria, 64-71.10.1145/2383276.2383288
    Search in Google Scholar
  52. 52. Teich, E. Systemic Functional Grammar in Natural Language Generation: Linguistic Description and Computational Representation. London, Cassell, 1999.
    Search in Google Scholar
  53. 53. Weal, M., H. Alani, S. Kim, P. Lewis, D. Millard, P. Sinclair, D. De Roure, N. Shadbolt. Ontologies as Facilitators for Repurposing Web Documents. - International Journal of Human-Computer Studies, Vol. 65, June 2007, No 6, 537-562.10.1016/j.ijhcs.2007.02.001
    Search in Google Scholar
DOI: https://doi.org/10.2478/cait-2014-0015 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 3 - 23
Published on: Jul 15, 2014
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Natural Language Generation,
semantic technologies,
semantic Web
Related subjects:
Computer sciences,
Information technology

© 2014 Kamenka Staykova, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 14 (2014): Issue 2 (June 2014)Next article