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 8 of 8 for “"Text Simplification"”.
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TEXT COMPLEXITY AND TEXT SIMPLIFICATION
… in terms of human lives, it is essential that texts used in a crisis situation be clearly understandable. This thesis is concerned with the study of the complexity of the crisis management sub-language and with methods to produce new, clear texts and to rewrite pre-existing crisis management …
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New Data-Driven Approaches to Text Simplification
Many texts we encounter in our everyday lives are lexically and syntactically very complex. This makes them difficult to understand for people with intellectual or reading impairments, and difficult for various natural language processing systems to process. This motivated the need for text …
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
… with sentence length and complexity. The task of Text Simplification (TS) may remedy this situation. It aims to modify sentences in order to make them easier to process, using a set of rewriting operations, such as reordering, deletion or splitting. These transformations are executed with the …
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Improving Reader Motivation with Machine Learning
… recommendation, headline optimization, text simplification, and many others. However, to the best of our knowledge, this is the first work to explicitly address the broad and meaningful impact that NLP and ML can have on the reading experience. In particular, the aim of this thesis is to …
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Knowledge base integration in biomedical natural language processing applications
… natural language processing applications: text simplification, conversational agents for medication adherence, and automatic evaluation of medical students' chart notes. In the first task, we take as a use case simplifying medication instructions to enhance medication adherence among …
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A Personalised Approach to Lexical Complexity
This thesis considers the task of lexical simplification: the simplification of word content within a text. Lexical simplification has been shown to positively impact the readability of a text and improve reader understanding and information retention. However, the process of simplifying word …
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Reinforcement Learning–Based Discrete Prompt Optimization for Neuro-Symbolic Structured Simplification of Complex Game Descriptions with Large Language Models
… models can be trained to perform structured simplification of complex, free-form game descriptions for the GameChangineer platform. The work formalizes simplification as a discrete prompt optimization problem and introduces a neuro-symbolic pipeline that maps raw natural language into …