Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"dialogue systems"”.
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Discriminative methods for statistical spoken dialogue systems
Dialogue promises a natural and effective method for users to interact with and obtain information from computer systems. Statistical spoken dialogue systems are able to disambiguate in the presence of errors by maintaining probability distributions over what they believe to be the state of a …
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Data-Driven Language Understanding for Spoken Dialogue Systems
Spoken dialogue systems provide a natural conversational interface to computer applications. In recent years, the substantial improvements in the performance of speech recognition engines have helped shift the research focus to the next component of the dialogue system pipeline: the one in charge …
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Sample-Efficient Reinforcement Learning for Spoken Dialogue Systems
… the development of a general open-domain dialogue system capable of engaging in natural conversations with humans remains a challenging task. Developing effective dialogue systems poses a challenge in the face of non-deterministic environments. Users exhibit diverse behaviors, making it …
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Recurrent Neural Network Language Generation for Dialogue Systems
Language is the principal medium for ideas, while dialogue is the most natural and effective way for humans to interact with and access information from machines. Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact on usability and perceived …
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Deep learning for spoken dialogue systems : application to nutrition
… and database mapping to other tasks such as dialogue state tracking.
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Advancing Language Equity and Sample Efficiency in Task-Oriented Dialogue Systems
Task-oriented dialogue (TOD) systems provide a natural way for humans to interact with machines to accomplish their everyday tasks. While this widely useful technology should benefit everyone equally, it has been mostly developed for English and several high-resource languages, resulting in a …
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Developing attribute acquisition strategies in spoken dialogue systems via user simulation
A spoken dialogue system (SDS) is an application that supports conversational interaction with a human to perform some task. SDSs are emerging as an intuitive and efficient means for accessing information. A critical barrier to their widespread deployment remains in the form of communication …
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Towards Effective Long Conversation Generation: Dynamic Topic Tracking and Recommendation for Open-Domain Dialogue Systems
… topic management and evo- lution in open-domain dialogue systems. This thesis presents EvolvConv, a novel approach for real-time conversation topic tracking and evolution in AI dialogue systems. EvolvConv addresses critical limitations in existing open-domain dialogue systems, which often exhibit …
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Practical neural dialogue management using pretrained language models
Task-oriented dialogue systems pose a significant challenge due to their complexity and the need to handle components such as language understanding, state tracking, action selection, and language generation. In this work, we explore the improvements in dialogue management using pretrained language …
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Reinforcement Learning and Reward Estimation for Dialogue Policy Optimisation
Modelling dialogue management as a reinforcement learning task enables a system to learn to act optimally by maximising a reward function. This reward function is designed to induce the system behaviour required for goal-oriented applications, which usually means fulfilling the user’s goal as …
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Real-time speech animation system
… real-time video streaming for speech animation systems to be viable in industry and deployed as applications for user machine interactions and real-time dialogue systems. In this thesis we apply various approaches to develop a parallel system that is capable of synthesizing real-time videos and …
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CHATTER : a spoken language dialogue system for language learning applications
… framework allows developers to easily implement dialogue systems to allow students to practice communications in a variety of situations, such as in a street market, at a restaurant, or in a hospital. A user simulator was also implemented, which was useful for the code development, as a tutor for …
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Natural Language Understanding and Generation for Task-Oriented Dialogue
… of many NLP research areas. Still, task-oriented dialogue modelling remains challenging due to both the inherent complexity of human language and task difficulty. Moreover, building such systems usually relies on large amounts of data with fine-grained annotations, and in many situations, it is …
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A Paradigm Shift To Utilizing Uncomfortable Conversations
… maintain and build relationships through open dialogue?” To explore boundaries and judgments within myself and with others, I framed the research in critical heuristics systems and a theory of boundary critique. I also applied an appreciative lens throughout inquiry questions and discussions …
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A Paradigm Shift To Utilizing Uncomfortable Conversations
… maintain and build relationships through open dialogue?” To explore boundaries and judgments within myself and with others, I framed the research in critical heuristics systems and a theory of boundary critique. I also applied an appreciative lens throughout inquiry questions and discussions …
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Response Generation in Longitudinal Dialogues
Longitudinal Dialogues (LD) are the most challenging type of conversations for human-machine dialogue systems. LDs include the recollections of events, personal thoughts, and emotions specific to each individual in a sparse sequence of dialogue sessions. Dialogue systems designed for LDs should …
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Incremental speech understanding in a multimodal web-based spoken dialogue system
In most spoken dialogue systems, the human speaker interacting with the system must wait until after finishing speaking to find out whether his or her speech has been accurately understood. The verbal and nonverbal indicators of understanding typical in human-to-human interaction are generally …
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