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Hits 81 – 99 of 99

81
Time map phonology : finite state models and event logics in speech recognition
Carson-Berndsen, Julie. - Dordrecht [u.a.] : Kluwer, 1998
BLLDB
Institut für Empirische Sprachwissenschaft
UB Frankfurt Linguistik
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82
Automatic Articulatory Annotation of Multi Sensor Database
In: 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings ; ISBN: 0-7803-3192-3 ; IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP 1996) ; https://hal.archives-ouvertes.fr/hal-03615575 ; IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP 1996), 1996, Atlanta, United States. pp.829--832, ⟨10.1109/ICASSP.1996.543249⟩ ; https://ieeexplore.ieee.org/document/543249 (1996)
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83
Discourse goals and attentional processes in sentence production : the dynamic construal of events
In: Conceptual structure, discourse and language. - Stanford : CSLI Publications (1996), 149-161
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84
Selective impairments of action naming : arguments and a case study
In: Linguistics and cognitive neuroscience. - Opladen : Westdt. Verl. (1994), 62-82
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85
Mining Temporal Patterns of Movement for Video Content Classification Michael Fleischman Cognitive Machines Group
In: http://www.mit.edu/~mbf/MIR_06.pdf
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86
Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition
In: http://ceur-ws.org/Vol-902/paper_5.pdf
Abstract: Abstract. The goal of this research is to devise a method for recognizing TimeML noun events in a more effective way. TimeML is the most recent annotation scheme for processing the event and temporal expressions in natural language processing fields. In this paper, we argue and demonstrate that the dependencies and the deep-level WordNet classes are useful for recognizing events. We formulate the event recognition problem as a classification task using various features including lexical semantic and dependency-based features. The experimental results show that our proposed method outperforms significantly a state-of-the-art approach. Our analysis of the results demonstrates that the dependencies of direct object and the deep-level WordNet hypernyms play pivotal roles for recognizing noun events.
Keyword: Event Recognition; Machine Learning; Natural Language Processing; TimeBank; TimeML; WordNet
URL: http://ceur-ws.org/Vol-902/paper_5.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4573
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87
Motion events in language and cognition
In: http://xcelab.net/rm/wp-content/uploads/2008/10/motion_events.pdf
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88
Video Content Classification
In: http://www.ismll.uni-hildesheim.de/lehre/semML-09s/script/p183-fleischman.pdf
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89
Video Content Classification
In: http://web.media.mit.edu/~dkroy/papers/pdf/fleischman_decamp_2006.pdf
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90
Mining Temporal Patterns of Movement for Video Event Recognition Michael Fleischman Cognitive Machines Group
In: http://www.media.mit.edu/cogmac/publications/MIR_06.pdf
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91
Manuscript statistics: Words: 14,000
In: http://www.isc.cnrs.fr/dom/Dominey-AIJR5.pdf
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92
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
In: http://www.ddl.ish-lyon.cnrs.fr/fulltext/Jacquier/Jacquier_2005_CogSci.pdf
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93
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
In: http://www.psych.unito.it/csc/cogsci05/frame/poster/1/f718-jacquier.pdf
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94
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2005/docs/p1030.pdf
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95
Invited Paper A Hierarchical Framework for Understanding Human-Human
In: http://www.cs.rochester.edu/u/spark/papers/Park_EI121_2005_invited.pdf
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96
Processing Visual Words With Numbers: Electrophysiological Evidence for Semantic Activation
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97
Electrophysiological Evidence of Different Loci for Case Mixing and Word Frequency Effects in Visual Word Recognition
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98
Visual information constrains early and late stages of spoken-word recognition in sentence context
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99
Unraveling the mystery about the negative valence bias: does arousal account for processing differences in unpleasant words?
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