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 48 for “"Text generation"”.
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Contrastive Text Generation
… of law and medicine. Building on a traditional generation pipeline of planning and realization, I propose models for three scenarios with contradictions where the planners identify pertinent pieces of information and consensus to adequately realize relations between them. First, I tackle …
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Context-aware data-to-text generation.
Data-to-Text Generation (D2T) is the subfield of Artificial Intelligence (AI) and Natural Language Processing (NLP) that aims to build systems capable of summarising nonlinguistic structured data into textual reports. D2T systems extract important insights from domain specific, mostly numerical, …
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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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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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Responsible Computational Text Generation: AI Content Classification and Policy Framework
… AI, particularly in producing human-like text, have blurred the lines between human and AI authorship. Since these AI tools rely on stochastic generation rather than traditional scientific reasoning, concerns about misinformation and reliability have emerged, highlighting the need for AI …
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Teaching and learning writing at primary school: an exploration of writing environments, transcription and text generation
… on transcription and its relationship with text-generation in different classroom writing environments (i.e. whether content is teacherdetermined, child-determined, or generated jointly by teachers and children). Method: Nine Year 5 teachers were interviewed about their classroom practice, …
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Controllable Language Generation Using Deep Learning
… and question the capabilities of these models. Text generation, a crucial part of NLP, remains an area where our comprehension is limited while being critical in research.</p> <p>This dissertation focuses on the challenging problem of controlling the general behaviors of language models such as …
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Framing in Argument Analysis & Generation. Detecting and generating perspectives
… the majority”. However, detecting the farming in texts and opening a debate is not trivial due to a level of latency in that task. Expressing a frame can be done by a bandwidth of words, naming for certain groups, or even more indirectly by concealing other valid viewpoints of problems or …
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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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Discrete Diffusion for Text Infilling
Generative modeling of text is a fundamental challenge in natural language processing. While autoregressive models have achieved remarkable success, they face limitations in parallelizability and flexible control. Discrete diffusion models offer a promising alternative paradigm, leveraging …
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Idiomatic sentence generation and paraphrasing
… in the neck” for NLP systems. Despite this, text generation tasks related to IEs remain largely under-explored. In this study, we propose two new tasks of idiomatic sentence generation and paraphrasing to fill this research gap. We introduce a curated dataset of 823 IEs, and a parallel corpus …
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Towards a Strong, Human-Compatible Codenames AI Agent
… natural language interactions, language generation in multi-agent contexts involving multiple users, imperfect information, and partially misaligned objectives remains extremely challenging. We aim to build search procedures that will enable language models to assist with interactive, …
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Influence mining from unstructured big data
… Models for both Information Thirst and Content Generation, sequentially, in this thesis. To the best of my knowledge, Influence models for Information Thirst and Content Generation have not been studied before. The thesis starts with the introduction of a new data mining problem, i.e., how to …
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Statistical Learning for Sequential Unstructured Data
… be organized into predefined structures, such as texts, human behavior status, and system logs, often presented in a sequential format with inherent dependencies. Probabilistic model are commonly used to capture these dependencies in the data generation process through latent parameters and can …
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Designing an Investment Research System for Asset Management Based on Natural Language Processing
… facilitates automatic processing, analysis, and text generation to specific tasks, aiding investment institutions in swiftly assimilating and dissecting massive volumes of information, and consequently formulating investment research results. NLP can assist investment institutions in rapidly …
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Planning multisentential English text using communicative acts
… content as coherent and cohesive English text. With the goal of identifying generic explanation presentation strategies, a wide range of naturally occurring texts were analyzed with respect to their communicative sttucture, function, content and intended effects on the reader. This …
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