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21
Capturing and Animating Hand and Finger Motion for 3D Communicative Characters
Wheatland, Nkenge Safiya. - : eScholarship, University of California, 2016
In: Wheatland, Nkenge Safiya. (2016). Capturing and Animating Hand and Finger Motion for 3D Communicative Characters. UC Riverside: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/39w9397t (2016)
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22
Character Modeling through Dialogue for Expressive Natural Language Generation
Lin, Grace. - : eScholarship, University of California, 2016
In: Lin, Grace. (2016). Character Modeling through Dialogue for Expressive Natural Language Generation. UC Santa Cruz: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/9c0563w9 (2016)
Abstract: Conversation is an essential component of social behavior, one of the primary means by which humans express emotions, moods, attitudes, and personality. Conversation is also critical to storytelling, where key information is often revealed by what a character says, how s/he says it, and how s/he reacts to what other characters say.Interactive narrative systems (INS) are a type of playable media whose applications range from simple entertainment to systems for learning, training, and decision making. Many forms of INS involve interactions with virtual human characters. Thus a key technical capability for such systems is the ability to support natural conversational interaction. While most INS use hand-crafted character dialogue to produce high quality utterances, they suffer from problems of portability and scalability, or what has been called the authoring bottleneck. We believe Natural Language Generation (NLG) is part of the solution to alleviate such burden from authors by automatically generating character dialogue.Here we focus on the issue of character voice. One way to produce believable, dramatic dialogue is to build stylistic models with linguistic features related to NLG decisions. Film/television dialogue are exemplars of many different linguistic styles that were designed to express dramatic characters. Thus we construct a corpus of film/television character dialogue from screenplays and transcripts publicly available from websites such as the Internet Movie Script Database. We apply content analysis and language modeling techniques to extract relevant linguistic features to build character-based stylistic models. We also apply machine learning techniques to discriminate characters base on available metadata such as genre, year, and director.This thesis consists of two parts. The first part involves building a basic character model with film dialogue, and then applying the model to an existing expressive NLG engine to generate different character voices. We then evaluate the generation experiment with a perceptual study, which suggests several natural extensions.The second part involves building a more refined model with television dialogue in order to explore a broader range of stylistic features that can be used to express dramatic characters. We test the model-fit of character models in two ways: 1) ranking experiments to pick out corresponding character’s utterances from a pool of mixed, original characters utterances, and 2) a second generation experiment to test user perceptions of characters.
Keyword: Computer science; NLG; NLP
URL: http://www.escholarship.org/uc/item/9c0563w9
http://n2t.net/ark:/13030/m5n05vgs
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23
Exploring and Supporting Today's Collaborative Writing
Wang, Dakuo. - : eScholarship, University of California, 2016
In: Wang, Dakuo. (2016). Exploring and Supporting Today's Collaborative Writing. UC Irvine: Information and Computer Science. Retrieved from: http://www.escholarship.org/uc/item/7441493c (2016)
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24
Artificial Intelligence as a Tool for Understanding Narrative Choices
Mawhorter, Peter Andrew. - : eScholarship, University of California, 2016
In: Mawhorter, Peter Andrew. (2016). Artificial Intelligence as a Tool for Understanding Narrative Choices. UC Santa Cruz: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/1tn22145 (2016)
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25
Semantic Interoperability of Multilingual Lexical Resources in Lexical Linked Data ; Interopérabilité Sémantique Multi-lingue des Ressources Lexicales en Données Liées Ouvertes
Tchechmedjiev, Andon. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01681358 ; Informatique et langage [cs.CL]. Université Grenoble Alpes, 2016. Français. ⟨NNT : 2016GREAM067⟩ (2016)
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26
Role of gaze in face-to-face interactions and its analysis among social cues ; Le regard dans les interactions lors d’entretiens en face à face et son analyse parmi les signaux sociaux
Bovée, Samuel. - : HAL CCSD, 2016
In: https://hal-normandie-univ.archives-ouvertes.fr/tel-02552250 ; Traitement des images [eess.IV]. Normandie Université, 2016. Français (2016)
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27
Surface Realisation from Knowledge Bases ; Bases de Connaissances et Réalisation de Surface
Gyawali, Bikash. - : HAL CCSD, 2016
In: https://hal.inria.fr/tel-01754499 ; Computation and Language [cs.CL]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0004⟩ (2016)
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28
Questioning scientific texts ; Interroger le texte scientifique
Cabanac, Guillaume. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01413878 ; Réseaux sociaux et d'information [cs.SI]. Université Toulouse 3 - Paul Sabatier, 2016 (2016)
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29
RDF Data Interlinking : evaluation of Cross-lingual Methods ; Liage de données RDF : évaluation d'approches interlingues
Lesnikova, Tatiana. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01366030 ; Artificial Intelligence [cs.AI]. Université Grenoble Alpes, 2016. English. ⟨NNT : 2016GREAM011⟩ (2016)
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30
Semantic Interoperability of Multilingual Lexical Resources as Lexical Linked Data ; Interopérabilité sémantique multilingue des ressources lexicales en données lexicales liées ouvertes
Tchechmedjiev, Andon. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01425123 ; Intelligence artificielle [cs.AI]. Université Grenoble Alpes, 2016. Français (2016)
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31
Textual Inference for Machine Comprehension ; Inférence textuelle pour la compréhension automatique
Gleize, Martin. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01317577 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS004⟩ (2016)
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32
Effects and handlers in natural language ; Les effects et les handlers dans le langage naturel
Maršík, Jiří. - : HAL CCSD, 2016
In: https://hal.inria.fr/tel-01417467 ; Computation and Language [cs.CL]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0322⟩ (2016)
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33
Discriminative Training Procedure for Continuous-Space Translation Models ; Apprentissage discriminant des modèles continus en traduction automatique
Do, Quoc khanh. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01315755 ; Apprentissage [cs.LG]. Université Paris Saclay (COmUE), 2016. Français. ⟨NNT : 2016SACLS071⟩ (2016)
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34
French Social Media Mining : Expertise and Sentiment ; Fouille des médias sociaux français : expertise et sentiment
Abdaoui, Amine. - : HAL CCSD, 2016
In: https://hal-lirmm.ccsd.cnrs.fr/tel-01507494 ; Artificial Intelligence [cs.AI]. Université Montpellier, 2016. English. ⟨NNT : 2016MONTT249⟩ (2016)
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35
Confidence Measures for Alignment and for Machine Translation ; Mesures de Confiance pour l’Alignement et pour la Traduction Automatique
Xu, Yong. - : HAL CCSD, 2016
In: https://tel.archives-ouvertes.fr/tel-01399222 ; Signal and Image Processing. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS270⟩ (2016)
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36
Automatic processing of Tunisian dialect: construction of linguistic resources ; TRAITEMENT AUTOMATIQUE DU DIALECTE TUNISIEN : CONSTRUCTION DE RESSOURCES LINGUISTIQUES
Zribi, Inès. - : HAL CCSD, 2016
In: https://hal.archives-ouvertes.fr/tel-02869866 ; Informatique et langage [cs.CL]. Université de Sfax (Tunisie), 2016. Français (2016)
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37
Construction de dictionnaire électronique des verbes du malgache
Ranaivoarison, Joro Ny Aina. - : HAL CCSD, 2016. : Editions universitaires europeennes, 2016
In: https://hal.archives-ouvertes.fr/hal-01371850 ; Editions universitaires europeennes, 2016, 978-3-8417-2775-6 ; https://www.editions-ue.com/ (2016)
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38
Dispositivi formativi e modalità ibride per l’apprendimento linguistico
Cervini, Cristiana; Valdivieso, Anabel. - : HAL CCSD, 2016
In: https://hal.archives-ouvertes.fr/hal-01942392 ; 2016 (2016)
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39
Named Entities for Computational Linguistics
In: https://hal-inalco.archives-ouvertes.fr/hal-01359440 ; 2016 (2016)
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40
Handbook Twitter for Research, 2015 / 2016
Levallois, Clement; Marchand, Morgane; Mata, Tiago. - : HAL CCSD, 2016. : EMLYON Press, 2016
In: https://hal.archives-ouvertes.fr/hal-01257444 ; France. EMLYON Press, 2016, 978-1523263394. ⟨10.5281/zenodo.44882⟩ (2016)
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