Experiments with single-class support vector data descriptions as a tool for vocabulary grounding

Aneesh Chauhan*, Luís Seabra Lopes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

This paper explores support vectors as a tool for vocabulary acquisition in robots. The intention is to investigate the language grounding process at the single-word stage. A social language grounding scenario is designed, where a robotic agent is taught the names of the objects by a human instructor. The agent grounds the names of these objects by associating them with their respective sensor-based category descriptions. A system for grounding vocabulary should be incremental, adaptive and support gradual evolution. A novel learning model based on single-class support vector data descriptions (SVDD), which conforms to these requirements, is presented. For robustness and flexibility, a kernel based implementation of support vectors was realized. For this purpose, a sigmoid kernel using histogram pyramid matching has been developed. The support vectors are trained based on an original approach using genetic algorithms. The model is tested over a series of semi-automated experiments and the results are reported.

Original languageEnglish
Title of host publicationProceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2010, in Conjunction with ICEIS 2010
Pages70-78
Number of pages9
Volume1
DOIs
Publication statusPublished - 30 Nov 2010
Externally publishedYes
Event7th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2010, in Conjunction with ICEIS 2010 - Funchal, Portugal
Duration: 8 Jun 20109 Jun 2010

Publication series

NameProceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2010, in Conjunction with ICEIS 2010

Conference

Conference7th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2010, in Conjunction with ICEIS 2010
CountryPortugal
CityFunchal
Period8/06/109/06/10

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    Chauhan, A., & Lopes, L. S. (2010). Experiments with single-class support vector data descriptions as a tool for vocabulary grounding. In Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2010, in Conjunction with ICEIS 2010 (Vol. 1, pp. 70-78). (Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2010, in Conjunction with ICEIS 2010). https://doi.org/10.5220/0003028000700078