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 50 for “"Natural language generation"”.
-
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
-
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 …
-
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
-
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 …
-
Designing Service-Oriented Chatbot Systems Using a Construction Grammar-Driven Natural Language Generation System
… accurate 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 …
-
Ordering prenominal modifiers with a ranking approach
In 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 …
-
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 …
-
Augmenting Transformers for Open Domain Procedural Text Comprehesion
… To try and shed some light on behaviors of natural language generation models, we examine the task of procedural text comprehension using neuro-symbolic techniques. We use this task as a testbed for exploring the limitations of state-of-the-art systems such as GPT on the task of predicting …
-
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 …
-
Scalable Representation Learning: On Data-scarcity, Uncertainty and Symmetry
… advancements in various fields such as vision, natural language generation, complex game play, as well as solving difficult scientific problems such as predicting protein folding. Despite these successes, traditional deep learning faces fundamental challenges limiting their scalability and …
-
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) …
-
Narrative Generation to Support Causal Exploration of Directed Graphs
… interventions on the target nodes, 2) the use of natural language generation techniques to create a coherent passage explaining the propagation effects, and 3) results of an expert user study validating the efficacy of the narratives in enhancing the user's understanding of the causal graphs. In …
-
A Sentence Generator for Natural Language Evaluators
… that most computer applications will include a natural language processing component. Both developers and consumers of NLP systems have expressed a need for standard natural language system evaluators. Automated natural language evaluators appear to be the only logical solution to the …
-
Explainable pattern modelling and summarization in sensor equipped smart homes of elderly
… explainable in nature and allow for generating natural language descriptions. We propose a comprehensive change description framework that can detect unusual changes in the sensor parameters and describe the data leading to those changes in natural language. An approach that models and detects …
-
Generating Natural Language Explanations For Entailments In Ontologies
… and high-quality ontology in OWL (Web Ontology Language)---the latest standard ontology language endorsed by the World Wide Web Consortium---is not an easy task for domain experts, who usually have limited knowledge of OWL and logic. One sign of an erroneous ontology is the occurrence of …
-
Data to information to text summaries of financial data
… to understand. This is possible through Natural Language Generation (NLG). The field of auditing has not previously been applied to this pipeline. This research looks at the auditing of Investment Fund Management, of which a specific procedure is the comparison of two time series (one of …
-
Data-Efficient Machine Learning with Applications to Cardiology
… in many settings including computer vision, natural language generation, and speech processing. However, an important shortcoming of these models is that they often need to be trained on large datasets in order to be most effective. In domains such as medicine, large datasets are not always …
-
Do you trust a robot journalist? The perceived credibility of AI generated articles in Germany
… which uses artificial intelligence (AI) and natural language generation (NLG), not only has news production changed fundamentally, but so has the assessment of the credibility of texts. This master's thesis examines how German readers evaluate the credibility of AI-generated news articles. …
-
Multimodal generative models for storytelling
… and learn efficiently from unlabeled data [34]. Natural language generation (NLG) for storytelling is especially challenging because it requires the generated text to follow an overall theme while remaining creative and diverse to engage the reader [26]. Competitive story generation models still …
Page 1 of 3