Efficient parsing of spoken inputs for human-robot interaction

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2009, Pages 97-102

  Lison, Pierre ^a   Kruijff, Geert Jan M ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MAN MACHINE SYSTEMS; SPEECH PROCESSING;

COMPUTING RESOURCE; CONTEXTUAL FEATURE; DISCRIMINATIVE MODELS; EVALUATION RESULTS; PERFORMANCE REQUIREMENTS; PROCESSING STEPS; SPOKEN DIALOGUE SYSTEM; STATISTICAL MODELING;

HUMAN ROBOT INTERACTION;

EID: 72849120536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2009.5326159     Document Type: Conference Paper

References (20)

1. R. Fernández and J. Ginzburg, "A corpus study of non-sentential utterances in dialogue," Traitement Automatique des Langues, vol. 43, no. 2, pp. 12-43, 2002.
2. E. A. Topp, H. Hüttenrauch, H. Christensen, and K. Severinson Ek-lundh, "Bringing together human and robotic environment representations - a pilot study," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Beijing, China, October 2006.
3. P. Lison, "Robust processing of situated spoken dialogue," Master's thesis, Universität des Saarlandes, Saarbrücken, 2008. [Online]. Available: http://www.dfki.de/~plison/pubs/thesis/main.thesis. plison2008.pdf
4. P. Lison and G.-J. M. Kruijff, "An integrated approach to robust processing of situated spoken dialogue," in Proceedings of the Second International Workshop on the Semantic Representation of Spoken Language (SRSL'09), Athens, Greece, 2009.
5. M. Collins and B. Roark, "Incremental parsing with the perceptron algorithm," in ACL '04: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 2004, p. 111.
6. N. A. Hawes, A. Sloman, J. Wyatt, M. Zillich, H. Jacobsson, G.-J. M. Kruijff, M. Brenner, G. Berginc, and D. Skocaj, "Towards an integrated robot with multiple cognitive functions." in Proc. AAAI'07. AAAI Press, 2007, pp. 1548-1553.
7. G.-J. M. Kruijff, P. Lison, T. Benjamin, H. Jacobsson, and N. Hawes, "Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction," in Language and Robots: Proceedings from the Symposium (LangRo'2007), Aveiro, Portugal, December 2007, pp. 55-64.
8. M. Steedman and J. Baldridge, "Combinatory categorial grammar," in Nontransformational Syntax: A Guide to Current Models, R. Borsley and K. Börjars, Eds. Oxford: Blackwell, 2009.
9. J. Baldridge and G.-J. M. Kruijff, "Coupling CCG and hybrid logic dependency semantics," in ACL'02: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. Philadelphia, PA: Association for Computational Linguistics, 2002, pp. 319-326.
10. T. Kasami, "An efficient recognition and syntax algorithm for context-free languages," Air Force Cambridge Research Laboratory, Bedford, Massachusetts, Tech. Rep. AF-CRL-65-758, 1965.
11. H. Jacobsson, N. Hawes, G.-J. Kruijff, and J. Wyatt, "Crossmodal content binding in information-processing architectures," in Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI), Amsterdam, The Netherlands, 2008.
12. P. Knoeferle and M. Crocker, "The coordinated interplay of scene, utterance, and world knowledge: evidence from eye tracking," Cognitive Science, 2006.
13. J. Van Berkum, "Sentence comprehension in a wider discourse: Can we use ERPs to keep track of things?" in The on-line study of sentence comprehension: Eyetracking, ERPs and beyond, M. Carreiras and C. C. Jr., Eds. New York NY: Psychology Press, 2004, pp. 229-270.
14. D. Roy, "Semiotic schemas: A framework for grounding language in action and perception," Artificial Intelligence, vol. 167, no. 1-2, pp. 170-205, 2005.
15. T. Brick and M. Scheutz, "Incremental natural language processing for HRI," in Proceeding of the ACM/IEEE international conference on Human-Robot Interaction (HRI'07), 2007, pp. 263 - 270.
16. K. Weilhammer, M. N. Stuttle, and S. Young, "Bootstrapping language models for dialogue systems," in Proceedings of INTERSPEECH 2006, Pittsburgh, PA, 2006.
17. L. S. Zettlemoyer and M. Collins, "Online learning of relaxed CCG grammars for parsing to logical form," in Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 2007, pp. 678-687.
18. M. Collins, "Parameter estimation for statistical parsing models: theory and practice of distribution-free methods," in New developments in parsing technology. Kluwer Academic Publishers, 2004, pp. 19-55.
19. S. Clark and J. R. Curran, "Log-linear models for wide-coverage ccg parsing," in Proceedings of the 2003 conference on Empirical methods in natural language processing. Morristown, NJ, USA: Association for Computational Linguistics, 2003, pp. 97-104.
20. P. Lison and G.-J. M. Kruijff, "Salience-driven contextual priming of speech recognition for human-robot interaction," in Proceedings of the 18th European Conference on Artificial Intelligence (ECAI'2008), Patras (Greece), 2008.