Tesis sobre el tema "Task-oriented dialogue"
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Kowtko, J. C. "The function of intonation in task-oriented dialogue". Thesis, University of Edinburgh, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508706.
Texto completoCarletta, Jean. "Risk-taking and recovery in task-oriented dialogue". Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/20370.
Texto completoSotillo, Catherine Frances. "Phonological reduction and intelligibility in task-oriented dialogue". Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/21544.
Texto completoYang, Fan. "Directing the flow of conversation in task-oriented dialogue". Full text open access at:, 2008. http://content.ohsu.edu/u?/etd,625.
Texto completoISOMURA, Naoki, Fujio TORIUMI y Kenichiro ISHII. "EVALUATION METHOD OF NON-TASK-ORIENTED DIALOGUE SYSTEM BY HMM". INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10479.
Texto completoDavies, B. L. "An empirical examination of cooperation, effort and risk in task-oriented dialogue". Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/18133.
Texto completoBarange, Mukesh. "Task-oriented communicative capabilities of agents in collaborative virtual environments for training". Thesis, Brest, 2015. http://www.theses.fr/2015BRES0013/document.
Texto completoGrowing needs of educational and training requirements motivate the use of collaborative virtual environments for training (CVET) that allows human users to work together with autonomous agents to perform a collective activity. The vision is inspired by the fact that the effective coordination improves productivity, and reduces the individual and team errors. This work addresses the issue of establishing and maintaining the coordination in a mixed human-agent teamwork in the context of CVET. The objective of this research is to provide human-like conversational behavior of the virtual agents in order to cooperate with a user and other agents to achieve shared goals.We propose a belief-desire-intention (BDI) like Collaborative Conversational agent architecture(C2BDI) that treats both deliberative and conversational behaviors uniformly as guided by the goal-directed shared activity. We put forward an integrated model of coordination which is founded on the shared mental model based approaches to establish coordination in a human-agent teamwork. We argue that natural language interaction between team members can affect and modify the individual and shared mental models of the participants. Finally, we describe the cultivation of coordination in a mixed human-agent teamwork through natural language conversation. In order to establish the strong coupling between decision making and the collaborative conversational behavior of the agent, we propose first, the Mascaret based semantic modeling of human activities and the VE, and second, the information state based context model. This representation allows the treatment of semantic knowledge of the collaborative activity and virtual environment, and information exchanged during the dialogue conversation in a unified manner. This knowledge can be used by the agent for multiparty natural language processing (understanding and generation) in the context of the CEVT. To endow the communicative capabilities to C2BDI agent, we put forward the information state based approach for the natural language processing of the utterances. We define collaborative conversation protocols that ensure the coordination between team members. Finally, in this thesis, we propose a decision making mechanism, which is inspired by the BDI based approach and provides the interleaving between deliberation and conversational behavior of the agent. We have applied the proposed architecture to three different scenarios in the CVET. We found that the multiparty collaborative conversational behavior of C2BDI agent is more constructive and facilitates the user to effectively coordinate with other team members to perform a shared task
Baggs, Edward. "Acting in a populated environment : an ecological realist enquiry into speaking and collaborating". Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16200.
Texto completoLinné, Christoffer y Pontus Olausson. "Crowdsourcing av data för Hybrid Code Networks". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281968.
Texto completoUppgiftsorienterade dialogsystem är ett populärt sätt för företag att generera extra värde både internt och för kunder. Moderna modeller för dessa dialogsystem som använder neurala nätverk för att möjliggöra träning direkt på skriftliga dialoger är väldigt datahungriga, vilket försvårar implementationen av dessa. Crowdsourcing är en attraktiv lösning för att generera denna typ av träningsdata, men metoden kommer även med flera svårigheter. Vi introducerar en ny metod för generering av träningsdata som bygger på parallell crowdsourcing av dialoger, samt crowdsourcad kvalitetsgranskning. Vi använder denna metod för att samla in ett litet dataset som utspelar sig inom domänen busschaufför-resenär. Vi menar att denna metod erbjuder ett effektivt sätt att samla in nya, högkvalitativa dataset. Hybrid Code Networks är en modell för dialogsystem som kombinerar ett neuralt nätverk med domänspecifik kunskap, och som på så sätt kräver en betydligt mindre mängd träningsdata än andra liknande dialogsystem för att uppnå jämförbar prestanda. Genom att kombinera Hybrid Code Networks med vår nya metod för generering av träningsdata menar vi att man kan sänka tröskeln för att implementera uppgiftsorienterade dialogsystem på domäner med otillräcklig träningsdata. Vi implementerar Hybrid Code Networks och tränar implementationen på det insamlade datasetet, och uppnår goda resultat.
Lee, John Ray. "Conversations with an intelligent agent-- modeling and integrating patterns in communications among humans and agents". Diss., University of Iowa, 2006. http://ir.uiowa.edu/etd/61.
Texto completoOtsuki, Kyoko. "Cross-linguistic study of elliptical utterances in task-oriented dialogues with classroom implications". Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/5821.
Texto completoEshky, Aciel. "Generative probabilistic models of goal-directed users in task-oriented dialogs". Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/15947.
Texto completoMgijima-Msindwana, Mirriam Miranda Nomso. "Implementing Educational Innovations: The case of the Secondary School Curriculum Diversification Programme in Lesotho". University of the Western Cape, 1991. http://hdl.handle.net/11394/8434.
Texto completoBetween 1974 and 1982 the MOE introduced in two phases the diversification programme [SSCDP] which sought to establish practical subjects in the secondary school curriculum. This study examines the sustainability of implementation efforts beyond project expiry. It was hypothesised that SSCDP is not working as originally intended. The broad research problem was framed thus: What implementation response arises from an open-ended innovation policy? Subsidiary questions are: 1. How far have the policy-makers communicated the meaning of SSCDP and what factors account for mismatches between policy intentions and innovation practice? 2. What is the response of Project schools and what factors explain variation in response? 3. What is their significance for the sustainability of SSCDP? The analysis draws key concepts from the innovation literature on models and strategies of planned change; relationships in the implementation hierarchy; determinants of and orientations to the implementation process. Centred around qualitative research methods, the investigation utilises data from project documents, semi-structured interviews and from observations during school visits. Findings show an overall low level of implementation that varies among project schools. This is attributed to: Poor interpretation of SSCDP goals; Deficiencies in the implementation management; Idiosyncratic school behaviours. The study concludes that the 'practitioner-policy-maker' discrepancy is significant, hence the gap between policy intents and innovation practice. The gap is not regarded so much as an ultimate failure of the programme but as a necessary condition that allows for mutual adaptation between the innovation and its setting. This is reflected in the varied patterns of implementation response, classified as the: faithful; negotiators; selective adaptors; expansionists; and reductionist. As a policy-oriented study aiming at providing an 'improvement value', the findings lead to a proposal of improvements in the strategies of managing change in three areas: shifting focus from an adoption to an implementation perspective. Recognising implementation as a process dependent on a mutual linkage relationship among participants. Recognising schools as important bearers of change. These three are crucial factors in the implementation-sustainability relationship.
Canducci, Marco. "End-to-End Goal-Oriented Conversational Agent for Risk Awareness". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20381/.
Texto completoLee, Chih-Wei y 李致緯. "Improved Task-Oriented and Non-Task-Oriented Dialogue Systems: Language Learning Dialogue Game and Chatbot as Examples". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ykwseq.
Texto completoDeVault, David. "Contribution tracking participating in task-oriented dialogue under uncertainty". 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17459.
Texto completoKao, Shuo-Hung y 高碩宏. "Antifire-bot:Intelligent Task-Oriented Dialogue System for Conflagration Evacuation". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4976jw.
Texto completo國立交通大學
土木工程系所
106
In this study, an attempt was made to develop a conversational bot for assisting people evacuate in case of fire. Whether civilians could adequately evacuate in the event of a fire depends on the dynamics between their behavior and the characteristics of buildings and burning fires. When a fire occurs, people have limited knowledge about fire, which makes it difficult to assess the scenario in time while the fire is spreading. However, it is of paramount importance whether people can effectively escape within a limited time and space. In this study, an evacuation decision-making model is proposed, based on literature review on evacuation simulations based on pedestrian flow correlation theory the experience of fire survival experts. Moreover, the interaction between the evacuation decision-making model, dialogue-based system, decision tree recommendation method, and the applicability and limitation of the human-computer interaction mode are discussed. Under the limitation mode of human-computer interaction, this study used the time of evacuation as the main limitation of successful escape. Using Natural Language Processing and Conversational User Interfaces, Messenger was used as a platform to explore the impact of dialogue-type robots on fire evacuee patterns in the event of fire. It is hoped that the results of this study will be useful for establishing or reviewing guidelines or standard procedures for fire evacuation and fire drills.
Sankar, Chinnadhurai. "Neural approaches to dialog modeling". Thesis, 2020. http://hdl.handle.net/1866/24802.
Texto completoThis thesis by article consists of four articles which contribute to the field of deep learning, specifically in understanding and learning neural approaches to dialog systems. The first article takes a step towards understanding if commonly used neural dialog architectures effectively capture the information present in the conversation history. Through a series of perturbation experiments on popular dialog datasets, wefindthatcommonly used neural dialog architectures like recurrent and transformer-based seq2seq models are rarely sensitive to most input context perturbations such as missing or reordering utterances, shuffling words, etc. The second article introduces a simple and cost-effective way to collect large scale datasets for modeling task-oriented dialog systems. This approach avoids the requirement of a com-plex argument annotation schema. The initial release of the dataset includes 13,215 task-based dialogs comprising six domains and around 8k unique named entities, almost 8 times more than the popular MultiWOZ dataset. The third article proposes to improve response generation quality in open domain dialog systems by jointly modeling the utterances with the dialog attributes of each utterance. Dialog attributes of an utterance refer to discrete features or aspects associated with an utterance like dialog-acts, sentiment, emotion, speaker identity, speaker personality, etc. The final article introduces an embedding-free method to compute word representations on-the-fly. This approach significantly reduces the memory footprint which facilitates de-ployment in on-device (memory constraints) devices. Apart from being independent of the vocabulary size, we find this approach to be inherently resilient to common misspellings.