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The bottleneck of syntax in language technology research: integration of memory based machine learning in the AI-investigation of the Origins of Language

The bottleneck of syntax in language technology research
Project information
Abstract: 

This project investigates the potential integration of two Artificial Intelligence domains by investigating the problematic role of syntax within both lines of research. Syntactic research within the subfield of Memory Based Reasoning is concerned with optimising two classification tasks: classification of segmentation (delimiting constituents) and classification of disambiguation (assigning grammatical labels).The robotic experiments that are being conducted within the Origins of Language research at the AI-lab (VUB), can likewise be interpreted as classification experiments. This classification task is problematic in both domains. Joint experiments, in which properties of both MBR and the OoL research will be combined, will try to attribute new insights in both research areas, so that a number of important limitations can be resolved.

Sponsor(s): 

FWO

Tutorial on Modality and Negation in NLP at IJCNLP 2011

in

Roser Morante gave a tutorial on Modality and Negation in Natural Language Processing at IJCNLP 2011. For more information you can check: http://www.ijcnlp2011.org/ijcnlp2011/front/show/tutorials#T3.

De Pauw, G. (2006).  Towards a Fixed Word Order in a Society of Agents: a Data-Driven Baseline Perspective. (A. Cangelosi, A.D.M. Smith, K. Smith, Ed.).Proceedings of the Sixth International Evolution of Language Conference. 43-50. PDF
De Pauw, G. (2005).  Agent-Based Unsupervised Grammar Induction. (M.P. Gleizes, G. Kaminka, A. Nowé, S. Ossowski, K. Tuyls, K. Verbeeck, Ed.).Proceedings of the Third European Workshop on Multi-Agent Systems. 114-125.
De Pauw, G. (2003).  GRAEL: an agent-based evolutionary computing approach for natural language. (G. Gottlob, T. Walsh, Ed.).Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. 823-828. PDF
De Pauw, G. (2003).  Evolutionary computing as a tool for grammar development. Genetic and Evolutionary Computation Conference. Proceedings, Part I, pages 549-560. PDF
De Pauw, G. (2000).  Aspects of Pattern-Matching in Data Oriented Parsing. (Antal van den Bosch, H. Weigand, Ed.).Proceedings of the Twelfth Belgium-Netherlands Artificial Intelligence Conference. 333-334.
De Pauw, G. (2000).  Aspects of Pattern-Matching in DOP. Proceedings of the Eighteenth International Conference on Computational Linguistics. 236-242. PDF
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