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Neural Network Learning for Robust Speech Recognition
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Qu, Leyuan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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Student Performance and Collaboration in Introductory Courses to Theory of Computation ; Studierendenperformance und Kollaboration in Einführungskursen der Theoretischen Informatik
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Frede, Christiane. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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Classifying user information needs in cooking dialogues – an empirical performance evaluation of transformer networks
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Entwicklung und Evaluation eines Tools zur lexikonbasierten Sentiment Analysis für die Digital Humanities
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Accessible digital documentary heritage : guidelines for the preparation of documentary heritage in accessible formats for persons with disabilities ...
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Erfahrung und Gewissheit – Orientierungen in den Wissenschaften und im Alltag. IV. Regensburger Symposium vom 24.-26. März 2011 ...
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Conversational Language Learning for Human-Robot Interaction
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Abstract:
Language is one of the complex but fascinating ways of communication, and it is continuously developed and maintained in the human brain. It is remarkable to study how humans understand each other in a conversation and continually learn and develop their communication skills. Understanding the meaning of the spoken or written language and interacting in that language differentiates humans from other species. Although it is difficult to define the exact working nature of the brain related to language acquisition and development, researchers find a strong relationship between different behaviours acquired based on social, cognitive, emotional and behavioural intelligence. Social robots and artificial human-like intelligent agents are the expected members of future society, where they are firmly expected to realize and exhibit verbal communication capability. In addition to the robot appearance, conversational understanding and behaviours are crucial aspects for their acceptance and co-existence in emerging society. This thesis aims to connect the knowledge from behavioural intelligence through conversational language learning with human-robot interaction (HRI). The socio-linguistic features, such as emotion, sentiment, politeness and dialogue acts, are the building blocks of the decision-making process in humans. This thesis presents extensive conversational analysis through artificial recurrent neural modelling that helps to build the robots aware of such linguistic cues. Accordingly, the thesis provides tools to analyze and investigate language on different aspects using recurrent neural networks (RNNs) and attention mechanism and eventually demonstrates an HRI scenario that facilitates robotics behavioural adaptation based on social cues. As a result, the thesis provides insights into the conversational analysis with emotion and dialogue acts, providing useful knowledge of natural language understanding for safe human-robot interaction. The primary contribution to knowledge from the study and experiments provided in this thesis is understanding the socio-linguistic features, with the motive of developing a natural language conversational system for HRI. The analytical experiments in this thesis can inform necessary future work in order to integrate social cues for robotic behavioural adaptation. Furthermore, this thesis provides knowledge to realize safer social robots in society with verbal communication capability using computational neural linguistics approaches, along with addressing the safety concerns of humans.
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Keyword:
004: Informatik; Artificial Intelligence; Conversational Analysis; ddc:004:; Emotion; Natural Language Processing; Recurrent Neural Networks; Sentiment and Politeness; Social Robots
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URL: http://nbn-resolving.de/urn:nbn:de:gbv:18-ediss-90853
https://ediss.sub.uni-hamburg.de/handle/ediss/8884
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Natural Language Visual Grounding via Multimodal Learning ; Natürliche Sprache Visual Grounding durch multimodales Lernen
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Mi, Jinpeng. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
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| 11 |
Erfahrung und Gewissheit – Orientierungen in den Wissenschaften und im Alltag. IV. Regensburger Symposium vom 24.-26. März 2011
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ANNIS: A graph-based query system for deeply annotated text corpora ...
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Generating Formal Representations of System Specification from Natural Language Requirements
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ANNIS: A graph-based query system for deeply annotated text corpora
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| 15 |
Acquiring Architecture Knowledge for Technology Design Decisions ; Erfassung von Architekturwissen für Technologieentwurfsentscheidungen
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Adaptive Approaches to Natural Language Processing in Annotation and Application ; Adaptive Ansätze zur Verarbeitung natürlicher Sprache in Annotation und Anwendung
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Yimam, Seid Muhie. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
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Predictive Dependency Parsing ; Vorhersagendes Dependenzparsing
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Köhn, Arne. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
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Automatic generation of lexical recognition tests using natural language processing
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Mining and Analyzing User Rationale in Software Engineering ; Gewinnung und Analyse von Nutzerbegründungen in der Softwaretechnik
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Kurtanović, Zijad. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2018
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Operations on Graphs, Arrays and Automata ; Operationen auf Graphen, Arrays und Automaten
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