Kernel-based discriminative re-ranking for spoken command understanding in HRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8249 LNAI, Issue , 2013, Pages 169-180

  Basili, Roberto ^a   Bastianelli, Emanuele ^a   Castellucci, Giuseppe ^b   Nardi, Daniele ^a   Perera, Vittorio ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN-DEPENDENT SOLUTIONS; LANGUAGE PROCESSING; NATURAL INTERACTIONS; OFF-THE-SHELF COMPONENTS; OPERATIONAL ENVIRONMENTS; REALISTIC CONDITIONS; RECOGNITION PROCESS; STATISTICAL LANGUAGE MODELS;

ARTIFICIAL INTELLIGENCE; HUMAN ROBOT INTERACTION; MAN MACHINE SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH RECOGNITION;

HUMAN COMPUTER INTERACTION;

EID: 84892751698     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03524-6_15     Document Type: Conference Paper

References (22)

1. Baroni, M., Bernardini, S., Ferraresi, A., Zanchetta, E.: The wacky wide web: a collection of very large linguistically processed web-crawled corpora. LRE 43(3), 209-226 (2009)
2. Cantrell, R., Scheutz, M., Schermerhorn, P., Wu, X.: Robust spoken instruction understanding for HRI. In: 2010 5th ACM/IEEE International Conference on HRI, pp. 275-282 (March 2010)
3. Collins, M., Duffy, N.: New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron. In: Proc. of the 40th Annual Meeting on ACL, ACL 2002, pp. 263-270. Association for Computational Linguistics, Stroudsburg (2002), http://dx.doi.org/10.3115/1073083.1073128
4. Croce, D., Moschitti, A., Basili, R.: Structured lexical similarity via convolution kernels on dependency trees. In: EMNLP, pp. 1034-1046 (2011)
5. Dinarelli, M., Moschitti, A., Riccardi, G.: Discriminative reranking for spoken language understanding. IEEE Transactions on Audio, Speech & Language Processing 20(2), 526-539 (2012)
6. Doostdar, M., Schiffer, S., Lakemeyer, G.: A robust speech recognition system for servicerobotics applications. In: Iocchi, L., Matsubara, H., Weitzenfeld, A., Zhou, C. (eds.) RoboCup 2008. LNCS, vol. 5399, pp. 1-12. Springer, Heidelberg (2009)
7. Dzifcak, J., Scheutz, M., Baral, C., Schermerhorn, P.: What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. In: Proc. ICRA 2009, Kobe, Japan (May 2009)
8. Golub, G., Kahan,W.: Calculating the singular values and pseudo-inverse of a matrix. J. Soc. Ind. Appl. Math.: Series B, Numerical Analysis (1965)
9. Huang, A.S., Tellex, S., Bachrach, A., Kollar, T., Roy, D., Roy, N.: Natural language command of an autonomous micro-air vehicle. In: IROS, Taipei, Taiwan, pp. 2663-2669 (October 2010)
10. Special Issue: Dialogue with Robots, vol. 34(2) (2011)
11. Klein, D., Manning, C.D.: Accurate unlexicalized parsing. In: Proc. of ACL 2003, pp. 423-430 (2003)
12. Kollar, T., Tellex, S., Roy, D., Roy, N.: Toward understanding natural language directions. In: 2010 5th ACM/IEEE International Conference on HRI (2010)
13. Landauer, T., Dumais, S.: A solution to plato's problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review 104 (1997)
14. Morbini, F., Audhkhasi, K., Artstein, R., Segbroeck,M.V., Sagae, K., Georgiou, P.G., Traum, D.R., Narayanan, S.S.: A reranking approach for recognition and classification of speech input in conversational dialogue systems. In: SLT, pp. 49-54 (2012)
15. Moschitti, A.: Efficient convolution kernels for dependency and constituent syntactic trees. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212, pp. 318-329. Springer, Heidelberg (2006)
16. Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press (2004)
17. Shen, L., Sarkar, A., Och, F.: Discriminative reranking for machine translation. In: Proc. of HLT-NAACL 2004, pp. 177-184 (2004)
18. Shen, L., Joshi, A.K.: An svm based voting algorithm with application to parse reranking. In: Proc. of HLT-NAACL 2003, CONLL 2003, vol. 4, pp. 9-16. ACL, Stroudsburg (2003)
19. Taylor, M., Zaragoza, H., Craswell, N., Robertson, S., Burges, C.: Optimisation methods for ranking functions with multiple parameters. In: Proc. of the 15th ACM International CIKM, CIKM 2006, pp. 585-593. ACM, New York (2006)
20. Tellex, S., Kollar, T., Dickerson, S., Walter, M.R., Banerjee, A.G., Teller, S., Roy, N.: Understanding natural language commands for robotic navigation and mobile manipulation. In: Proc. of AAAI, San Francisco, CA, pp. 1507-1514 (2011)
21. Thomas, B., Jenkins, O.C.: Verb semantics for robot dialog. In: Robotics: Science and Systems Workshop on Grounding Human-Robot Dialog for Spatial Tasks, Los Angeles, CA, USA (June 2011)
22. Wang, W., Stolcke, A., Zheng, J.: Reranking machine translation hypotheses with structured and web-based language models. In: IEEE Workshop on ASRU 2007, pp. 159-164. IEEE (2007)