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 14 of 14 for “"Natural language generation (NLG)"”.
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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 …
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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. …
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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 …
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Enhancing Retrieval Augmented Generation Through Robust Information Retrieval
Retrieval-Augmented Generation (RAG) is a popular technique for grounding the responses of Large Language Models (LLMs). RAG works by extending Information Retrieval (IR) to incorporate LLMs that generate responses based on retrieved information and a query. RAG is commonly used within the field of …
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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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Ontology verbalization in agglutinating Bantu languages: a study of Runyankore and its generalizability
Natural Language Generation (NLG) systems have been developed to generate text in multiple domains, including personalized patient information. However, their application is limited in Africa because they generate text in English, yet indigenous languages are still predominantly spoken throughout …
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Through Smoke and Mirrors of the Post-Truth Era: Knowledge-Driven Generation as Algorithmic Resistance to Misinformation
… automation not merely desirable but necessary. Natural Language Generation (NLG) represents a viable solution, enabling the automatic production of verdicts: knowledge-grounded textual responses that explain the veracity of a claim. This thesis investigates how knowledge-driven generative …
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Text Generation and Evaluation for Human-Machine Collaborative Writing
Natural language generation (NLG) models' ability to generate long, fluent texts has enabled progress across many NLG subfields and increased the types of contributions models can make to human-machine collaborative writing tasks. However, the improved quality of generated text also poses …
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Natural counterfactual explanations with causal awareness and actionable recourse for black-box models.
… generate explanations that are linguistically unnatural, practically infeasible for end-users, or neglect underlying causal relationships within the data, thereby limiting their real-world utility and trustworthiness. This thesis systematically addresses these critical limitations by developing …
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Natural Language Understanding and Generation for Task-Oriented Dialogue
… 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 difficult to obtain such data. It is thus important for dialogue systems to learn …
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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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Grammars for generating isiXhosa and isiZulu weather bulletin verbs
The Met Office has investigated the use of natural language generation (NLG) technologies to streamline the production of weather forecasts. Their approach would be of great benefit in South Africa because there is no fast and large scale producer, automated or otherwise, of textual weather …
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Foundations for reusable and maintainable surface realisers for isiXhosa and isiZulu
Natural Language Generation (NLG) systems are used to generate text in order to reduce manual effort. Most existing systems are built to support European languages with simple and/or well-documented grammars. IsiZulu and isiXhosa, two of the largest South African languages by first language …
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Uncertainty Estimation on Natural Language Processing
… books, reports, and more. Consequently, Natural Language Processing (NLP) has garnered widespread attention. This technology empowers us to undertake tasks like text classification, entity recognition, and even crafting responses within a dialogue context. However, despite the expansive …