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 20 of 965 for “"Natural language processing"”.
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Multithreaded Natural Language Processing Tasks
… towards multithreaded versions of traditional natural language processing systems. This thesis work has two main contributions towards multithreaded versions of a natural language processing systems: </p> <p> 1. Implementation of data parallelism to improve performance of lexical analysis and …
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Misinformation Identification Using Natural Language Processing
… problem of misinformation identification using natural language processing (NLP). Given a claim, our approach classifies a claim as true, partly true or false using a set of news articles whose contents are related to the claim. The set of related articles, collected from reputable sources, …
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Domain Adaptation in Natural Language Processing
Although we focus on domain adaptation in natural language processing in this thesis, most of the analysis of the problem and the proposed domain adaptation techniques are not restricted to natural language processing problems but can be generally applied to most classification tasks when the …
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Natural Language Processing on Data Warehouses
… problem addressed in this research was to use natural language to query data in a data warehouse. To this effect, two natural language processing models were developed and compared on a classic star-schema sales data warehouse with sales facts and date, location and item dimensions. Utterances …
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Self-Training for Natural Language Processing
… is critical for machine learning based natural language processing models. Although many large-scale corpora and standard benchmarks have been annotated and published, they cannot cover all possible applications. As a result, it is difficult to transfer models trained with public corpora …
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Natural language processing based nutritional application
… time consuming or easily abandoned; however, a natural language based application that converts spoken text to nutritional information could be a convenient and eective solution. This thesis describes the creation of an application that translates spoken food diaries into nutritional database …
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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 …
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Unsupervised Structure Induction for Natural Language Processing
Many Natural Language Processing (NLP) tasks involve some kind of structure analysis, such as word alignment for machine translation, syntactic parsing for coreference resolution, semantic parsing for question answering, etc. Traditional supervised learning methods rely on manually labeled …
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Natural Language Processing per Human-centered AI
… nell’ambito dell’Elaborazione del Linguaggio Naturale (Natural Language Processing, NLP), attraverso contributi integrati di natura teorica, metodologica e applicativa. In primo luogo, vengono definite le basi concettuali e sociotecniche dell’HCAI e presentata un’analisi sistematica dello …
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Natural Language Processing Reveals Patient Reported Experiences
… understanding patient-reported experiences using Natural Language Processing (NLP) techniques. We identify three key research gaps: the need for rapid insights in emerging health crises, the lack of a guiding NLP framework to uncover patient-reported experiences for healthcare professionals, and …
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Multi-Class Classification in Natural Language Processing
This thesis presents theoretical and empirical arguments for the advantages of using: (i) Sentence structure. (ii) The Sequential Model . Empirical arguments are given using word-prediction and part of speech tagging tasks. Theoretical arguments present this thesis as an extension of the current …
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Morphological competence in neural natural language processing
In case-marking languages (CMLs), such as Polish or Finnish, a substantial portion of grammatical information is expressed at the word-level. The word-forms provide information about their inherent properties, like tense or mood, but also encode information about relations between the words. This …
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Natural language processing on encrypted patient data
… run certain machine learning algorithms from the natural language processing domain on the second party's data, where the first party is limited to learning only specific functions of the second party's data and nothing else. Our system provides simple cryptographic schemes for locating keywords, …
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Interpretable neural models for natural language processing
… present a class of sequence operations for text processing. The proposed component generalizes from convolution operations and gated aggregations. As justifications, we relate this component to string kernels, i.e. functions measuring the similarity between sequences, and demonstrate how it …
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Design Knowledge Base Using Natural Language Processing
… design knowledge. State of the art models in Natural Language Processing (NLP) are trained on and applied to large corpora of heterogeneous forms of technical design documentation to enable accurate information retrieval via semantic search capabilities. Text analysis algorithms are applied to …
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Crosslingual Sharing for Low-Resource Natural Language Processing
… successful at a wide variety of tasks, including language modeling and structured prediction problems such as syntactic and semantic parsing. This is due in large part to the use of supervised neural networks and more recently to unsupervised contextualized representations. However, these …
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Enterprises’ sustainability orientation: A natural language processing approach
… Specifically, this thesis harnesses the power of natural language processing (NLP) techniques, which is a field of artificial intelligence (AI), as a tool for research in extracting insights from textual communication. The thesis comprises three studies along with a cohesive synthesis of their …
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Exploiting Cross-Lingual Representations For Natural Language Processing
… approaches have proven useful for some Natural Language Processing (NLP) tasks in high-resource languages (like English), they are unlikely to scale to languages where collecting labeled data is di cult and time-consuming. Translating supervision available in English is also not a viable …
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