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.
Results
Showing 1 to 20 of 71 for “"Language Generation"”.
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Controlling Neural Language Generation
Large-scale neural language models have made impressive strides in natural language generation. However, typical models operate in a left-to-right, unconstrained fashion with limited control over what is generated. This thesis explores flexible sequence models and weakly supervised methods to …
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Towards knowledgeable natural language generation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Controllable Language Generation Using Deep Learning
… surpassed previous methods in various Natural Language Processing (NLP) tasks. As the NLP field evolves, there is a need to further understand and question the capabilities of these models. Text generation, a crucial part of NLP, remains an area where our comprehension is limited while being …
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Knowledge intensive natural language generation with revision
Traditional natural language generation systems use a pipelined architecture. Two problems with this architecture are poor task decomposition and the lack of interaction between conceptual and stylistic decisions making. A revision architecture operating in a knowledge intensive environment is …
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Controllable natural language generation for audience-centric styles
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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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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Subword segmental neural language generation for Nguni languages
Deep learning models for text generation are now able to produce fluent and coherent text in many conversational settings. However, such models require large training datasets and are primarily designed for a limited number of high-resource languages. These advances are not directly applicable to …
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Producing semantically appropriate gestures in embodied language generation
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1998.
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PLUTO : a preprocessor for multilingual spoken language generation
Surface realization, a subtask of natural language generation, maps a meaning representation to a natural language string. This thesis presents an architecture for a surface realization component in a spoken dialogue system. The architecture divides the surface realization task in two: (1) …
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Towards a Deeper Understanding of Neural Language Generation
In recent years, the field of language modelling has witnessed exciting developments. Especially, thanks to large-scale data, powerful model architectures, and high-speed parallel computing devices, researchers are able to train language models which can generate realistic text. However, our …
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Genesis-II : A language generation module for conversational systems
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Evaluating Natural Language Generation Tasks for Grammaticality, Faithfulness and Diversity
Natural language generation (NLG) plays a vital role in many applications. Evaluating the quality of generated text is crucial for ensuring the effectiveness and user satisfaction of NLG systems. With the popularisation of deep learning in recent years, many models have been reported to achieve …
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Language generation and speech synthesis in dialogues for language learning
Since 1989, the Spoken Language Systems group has developed an array of applications that allow users to interact with computers using natural spoken language. A recent project of interest is to develop an interactive conversational system to assist students in mastering a foreign language. The …
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Korean language generation in an interlingua-based speech translation system
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Designing Service-Oriented Chatbot Systems Using a Construction Grammar-Driven Natural Language Generation System
… or satisfying to users. We find that natural language understanding and natural language generation methods are central to creating an e�fficient and useful system. In this thesis we investigate current and past methods in this research area and place particular emphasis on Construction …
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Ordering prenominal modifiers with a ranking approach
… this thesis we present a solution to the natural language processing task of ordering prenominal modifiers, a problem that has applications from machine translation to natural language generation. In machine translation, constraints on modifier orderings vary from language to language so some …
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Learning meaning representations for text generation with deep generative models
This thesis explores conditioning a language generation model with auxiliary variables. By doing so, we hope to be able to better control the output of the language generator. We explore several kinds of auxiliary variables in this thesis, from unstructured continuous, to discrete, to structured …
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Beyond pre-training: continual learning and hallucinations in transformer-based language models.
… models have become the norm for various language modelling tasks from document similarity analysis and text classification to natural language generation. Despite the impressive performance on benchmark datasets, adopting pretrained models for real-world applications often requires …
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Practical neural dialogue management using pretrained language models
… 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 models. We propose three models that incorporate pretrained language …
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