"94-99" . "St. Petersburg" . . "St. Petersburg" . "\u0160m\u00EDdl, Lubo\u0161" . . . "Proceedings of the 11th international conference %22Speech and computer%22 SPECOM'2006" . "Potla\u010Den\u00ED zaujatosti lexik\u00E1ln\u00EDho modelu v Hidden Vector State Parser"@cs . "Prior of the Lexical model in the Hidden Vector State Parser"@en . "Zahradil, Ji\u0159\u00ED" . "spontaneous speech, dialogue systems"@en . . "Tento \u010Dl\u00E1nek popisuje implementaci statistick\u00E9ho s\u00E9mantick\u00E9ho parseru pro omezenou dom\u00E9nu s mal\u00FDm po\u010Dtem tr\u00E9novac\u00EDch dat. Implementovali jsme hidden vector state model. Model byl implementov\u00E1n v GMTK (graphical modeling toolkit). Do tohoto model jsme implementovali panalizaci za vlo\u017Een\u00ED konceptu. Line\u00E1rn\u00ED interpolace byla pou\u017Eita pro vyhlazen\u00ED estimovan\u00FDch pravd\u011Bpodobnost\u00ED. Implementaci penalizace za vlo\u017Een\u00ED konceptu jsme testovali na korpusu z oblasti zodpov\u00EDd\u00E1n\u00ED dotaz\u00ED o odjezdech vlak\u016F. Zjistili jsme, \u017Ee penalizace za vlo\u017Ei konceptu signifikantn\u011B zlep\u0161uje tento model. P\u0159esnost z\u00E1kladn\u00EDho syst\u00E9mu byla zv\u00ED\u0161ena z 33.7% na 55.4%." . . . . "Tento \u010Dl\u00E1nek popisuje implementaci statistick\u00E9ho s\u00E9mantick\u00E9ho parseru pro omezenou dom\u00E9nu s mal\u00FDm po\u010Dtem tr\u00E9novac\u00EDch dat. Implementovali jsme hidden vector state model. Model byl implementov\u00E1n v GMTK (graphical modeling toolkit). Do tohoto model jsme implementovali panalizaci za vlo\u017Een\u00ED konceptu. Line\u00E1rn\u00ED interpolace byla pou\u017Eita pro vyhlazen\u00ED estimovan\u00FDch pravd\u011Bpodobnost\u00ED. Implementaci penalizace za vlo\u017Een\u00ED konceptu jsme testovali na korpusu z oblasti zodpov\u00EDd\u00E1n\u00ED dotaz\u00ED o odjezdech vlak\u016F. Zjistili jsme, \u017Ee penalizace za vlo\u017Ei konceptu signifikantn\u011B zlep\u0161uje tento model. P\u0159esnost z\u00E1kladn\u00EDho syst\u00E9mu byla zv\u00ED\u0161ena z 33.7% na 55.4%."@cs . "23520" . "2006-01-01+01:00"^^ . . "[9971A0E2899B]" . . "RIV/49777513:23520/07:00000322!RIV08-MSM-23520___" . "Potla\u010Den\u00ED zaujatosti lexik\u00E1ln\u00EDho modelu v Hidden Vector State Parser" . "P(1M0567)" . "442944" . "5-7452-0074-X" . "RIV/49777513:23520/07:00000322" . "6"^^ . . "3"^^ . "Potla\u010Den\u00ED zaujatosti lexik\u00E1ln\u00EDho modelu v Hidden Vector State Parser"@cs . . "Jur\u010D\u00ED\u010Dek, Filip" . "3"^^ . . . . "Prior of the Lexical model in the Hidden Vector State Parser"@en . . "This paper describes an implementation of a statistical semantic parser for a closed domain with limited amount of training data. We implemented the hidden vector state model, which we present as a structure discrimination of a flat-concept model. The model was implemented in the graphical modeling toolkit. We introduced into the hidden vector state model a concept insertion penalty as a part of pattern recognition approach. In our model, the linear interpolation was used for both to deal with unseen words (unobserved input events) in training data and to smooth probabilities of the model. We evaluated the implementation of the concept insertion penalty in our model on a closed domain human-human train timetable dialogue corpus. We found that the concept insertion penalty was indispensable in our implementation of the hidden vector state model on the human-human train timetable dialogue corpus. Accuracy of the baseline system was increased from 33.7% to 55.4%."@en . . "Anatolya Publishers" . . "Potla\u010Den\u00ED zaujatosti lexik\u00E1ln\u00EDho modelu v Hidden Vector State Parser" .