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Explorations in multiparty casual social talk and its relevance for social human machine dialogue [<Journal>]
Gilmartin, Emer [Verfasser]; Cowan, Benjamin R. [Verfasser]; Vogel, Carl [Verfasser].
DNB Subject Category Language
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Utilization of multimodal interaction signals for automatic summarisation of academic presentations
Curtis, Keith. - : Dublin City University. School of Computing, 2018
In: Curtis, Keith (2018) Utilization of multimodal interaction signals for automatic summarisation of academic presentations. PhD thesis, Dublin City University. (2018)
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On-Talk and Off-Talk Detection: A Discrete Wavelet Transform Analysis of Electroencephalogram ; 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)
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Chats and Chunks: Annotation and Analysis of Multiparty Long Casual Conversations ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
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5
Stitching together the conversation - considerations in the design of extended social talk ; 9th INTERNATIONAL WORKSHOP ON SPOKEN DIALOGUE SYSTEMS TECHNOLOGY (IWSDS2018)
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6
Too cautious to vary more? A comparison of pitch variation in native and non-native productions of French and German speakers
Zimmerer, Frank [Verfasser]; Jügler, Jeanin [Verfasser]; Andreeva, Bistra [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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7
Comparison of Pitch Range and Pitch Variation in Slavic and Germanic Languages
Campbell, Nick [Herausgeber]; Oleskowicz-Popiel, Magdalena [Verfasser]; Hirst, Daniel [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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8
Incorporating visual information into neural machine translation
Calixto, Iacer. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
In: Calixto, Iacer (2017) Incorporating visual information into neural machine translation. PhD thesis, Dublin City University. (2017)
Abstract: In this work, we study different ways to enrich Machine Translation (MT) models using information obtained from images. Specifically, we propose different models to incorporate images into MT by transferring learning from pre-trained convolutional neural networks (CNN) trained for classifying images. We use these pre-trained CNNs for image feature extraction, and use two different types of visual features: global visual features, that encode an entire image into one single real-valued feature vector; and local visual features, that encode different areas of an image into separate real-valued vectors, therefore also encoding spatial information. We first study how to train embeddings that are both multilingual and multi-modal, and use global visual features and multilingual sentences for training. Second, we propose different models to incorporate global visual features into state-of-the-art Neural Machine Translation (NMT): (i) as words in the source sentence, (ii) to initialise the encoder hidden state, and (iii) as additional data to initialise the decoder hidden state. Finally, we put forward one model to incorporate local visual features into NMT: (i) a NMT model with an independent visual attention mechanism integrated into the same decoder Recurrent Neural Network (RNN) as the source-language attention mechanism. We evaluate our models on the Multi30k, a publicly available, general domain data set, and also on a proprietary data set of product listings and images built by eBay Inc., which was made available for the purpose of this research. We report state-of-the-art results on the publicly available Multi30k data set. Our best models also significantly improve on comparable phrase-based Statistical MT (PBSMT) models trained on the same data set, according to widely adopted MT metrics.
Keyword: Artificial intelligence; Computational linguistics; Machine learning; Machine translating
URL: http://doras.dcu.ie/21942/
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9
Incorporating Global Visual Features into Attention-Based Neural Machine Translation ...
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10
Multilingual Multi-modal Embeddings for Natural Language Processing ...
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11
Disfluency in Multiparty Social Talk ; Disfluency in Spontaneous Speech 2015
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12
The discourse value of social signals at topic change moments ; Proceedings of the 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015)
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13
Classification of social laughter in natural conversational speech
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 1, 314-325
OLC Linguistik
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14
Investigating automatic measurements of prosodic accommodation and its dynamics in social interaction
In: Speech communication. - Amsterdam [u.a.] : Elsevier 58 (2014), 11-34
OLC Linguistik
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15
Social and Linguistic Speech Prosody - Proceedings of the 7th international conference on Speech Prosody, Dublin
Campbell, Nick (Hrsg.); Gibbon, Dafydd (Hrsg.); Hirst, Daniel (Hrsg.). - Dublin, 2014
IDS Bibliografie zur Gesprächsforschung
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16
Proceedings of the 7th International Conference on Speech Prosody
Campbell, Nick; Gibbon, Dafydd; Hirst, Daniel. - : HAL CCSD, 2014. : Trinity College Dublin, 2014
In: https://hal.archives-ouvertes.fr/hal-01475382 ; Dublin, Ireland. Trinity College Dublin, pp.1202, 2014 (2014)
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17
Investigating Automatic Measurements of Prosodic Accommodation and Its Dynamics in Social Interaction
In: Articles (2014)
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18
Exploring the Role of Laughter in Multiparty Conversation ; DialDam: Proceedings of the 17th Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL2013)
Vogel, Carl; Campbell, Nick. - : ILLC, 2013
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19
Laughter and Topic Transition in Multiparty Conversation ; Proceedings of the SIGDIAL 2013 Conference
Vogel, Carl; Campbell, Nick. - : Association for Computational Linguistics, 2013
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20
Investigating fine temporal dynamics of prosodic and lexical accommodation ; 14th Annual Conference of the International Speech Communication Association
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