Extensible Dependency Grammar (XDG) is a general framework for dependency grammar, with multiple levels of linguistic representations called dimensions, e.g. grammatical function, word order, predicate-argument structure, scope structure, information structure and prosodic structure. It is articulated around a graph description language for multi-dimensional attributed labeled graphs.
An XDG grammar is a constraint that describes the valid linguistic signs as n-dimensional attributed labeled graphs, i.e. n-tuples of graphs sharing the same set of attributed nodes, but having different sets of labeled edges. All aspects of these signs are stipulated explicitly by principles: the class of models for each dimension, additional properties that they must satisfy, how one dimension must relate to another, and even lexicalization.
ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction.
L. Tang, Y. Zhang, and X. Fu. Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, page 58- 61. (2005)
T. Pardo, and L. Rino. Proceedings of the 3rd International Conference: Portugal for Natural Language Processing - PorTAL, volume 2389 of LNAI, page 263-273. Faro, Portugal, (June 2002)
T. Pardo, L. Antiqueira, M. Nunes, O. Oliveira Jr., and L. Costa. Proceedings of the International Conference on Communications, Circuits and Systems (ICCCAS'06) - Special Session on Complex Networks, page 2678-2682. Gui Lin, China, UESTC Press, (June 2006)
J. Otterbacher, G. Erkan, and D. Radev. Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), page 915-922. Vancouver, British Columbia, Canada, Association for Computational Linguistics, (October 2005)
V. Nastase, and S. Szpakowicz. Proceedings of TextGraphs: the Second Workshop on Graph Based Methods for Natural Language Processing, page 29-32. New York City, Association for Computational Linguistics, (June 2006)
R. Mihalcea. Proceedings of the ACL Interactive Poster and Demonstration Sessions, page 49-52. Ann Arbor-MI, United States, Association for Computational Linguistics, (June 2005)
R. Mihalcea. Proceedings of the 7th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2006), volume 3878 of LNCS, page 249-262. Mexico City, Mexico, (February 2006)
J. Liu, and J. Wang. Proceedings of the International Conference on Natural Language Processing and Knowledge Engineering, page 129-134. Beijing, China, (2007)
C. Lin, and E. Hovy. Proceedings of the HLT-NAACL 03 on Text summarization workshop, page 73-80. Morristown, NJ, USA, Association for Computational Linguistics, (2003)
D. Leite, and L. Rino. Fourth Workshop in Information and Human Language Technology (TIL'06 Poster Section) in the Proceedings of International Joint Conference, 10th Ibero-American Artificial Intelligence Conference, 18th Brazilian Artificial Intelligence Symposium, 9th Brazilian Neural Networks Symposium, IBERAMIA-SBIA-SBRN, Ribeirão Preto, Brazil, ICMC-USP, (October 2006)
O. Kurland, and L. Lee. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 306-313. (2005)
E. Bolshakova. Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing (CICLing '01), page 281-290. Springer-Verlag, (2001)
D. Jurafsky, and J. Martin. Prentice Hall series in artificial intelligence Prentice Hall, Pearson Education International, Englewood Cliffs, NJ, 2. ed., Pearson International Edition edition, (2009)
M. Tatu. ACL 2005, 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 25-30 June 2005, University of Michigan, USA, The Association for Computational Linguistics, (2005)
E. Riloff. Connectionist, statistical, and symbolic approaches to learning for natural language processing, 1040, page 275--289. Heidelberg, DE, Springer Verlag, (1996)
A. Gordon, and K. Ganesan. K-CAP '05: Proceedings of the 3rd International Conference on Knowledge Capture, page 145--152. New York, NY, USA, ACM, (2005)
M. Hearst. Proceedings of the 14th conference on Computational linguistics-Volume 2, page 539--545. Association for Computational Linguistics Morristown, NJ, USA, (1992)
M. Pasca. CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, page 683--690. New York, NY, USA, ACM, (2007)
A. Gordon, A. Kazemzadeh, A. Nair, and M. Petrova. Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03), page 208--215. (2003)
T. Strzalkowski, F. Lin, J. Perez-Carballo, and J. Wang. Proceedings of the fifth conference on Applied natural language processing, page 299--306. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, (1997)
J. Wermter, and U. Hahn. 44th Annual Meeting of the Association for Computational Linguistics, page 785--792. Sydney, Australia, Association for Computational Linguistics, (July 2006)