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 56 for “"unstructured text"”.
-
Structured entity querying over unstructured text
The web is a collection of unstructured webpages. This characteristic makes it very hard for users to search complex queries -- in most of the times, queries are just plain text and it is very difficult for users to describe the internal relationships that they contain. The EntityRank system allows …
-
Learning a semantic database from unstructured text
… we aim to learn a semantic database given a text corpus. Specifically, we focus on predicting whether or not a pair of entities are related by the hypernym relation, also known as the 'is-a' or 'type-of' relation. We learn a neural network model for this task. The model is given as input a …
-
Domain-agnostic named entity recognition on unstructured text
… to predefined semantic classes from raw text. These semantic classes could be general-purpose like a person, location or domain-specific like genes, protein names in biomedical texts. NER has widespread applications in natural language processing (NLP) and serves as the foundation for …
-
Extraction of Causal-Association Networks from Unstructured Text Data
… parser to extract causes and effects from unstructured text through a simple, pre-defined grammar pattern. By filtering out non-causal sentences before the extraction process begins, the presented methodology is able to achieve a precision of 85.91% and a recall of 73.99%. The polarity of the …
-
Towards Knowledge Graph Construction From Unstructured Text with LLMs, Triple Identification and Alignment to Wikidata
The exponential growth of digital text has underscored the pivotal role of Knowledge Graphs (KGs) in structuring, managing, and deriving value from unstructured data. However, a vast portion of textual content remains unstructured, posing critical challenges for the automatic construction and …
-
Towards Knowledge Graph Construction From Unstructured Text with LLMs, Triple Identification and Alignment to Wikidata
The exponential growth of digital text has underscored the pivotal role of Knowledge Graphs (KGs) in structuring, managing, and deriving value from unstructured data. However, a vast portion of textual content remains unstructured, posing critical challenges for the automatic construction and …
-
The application of business analytics techniques to analyze unstructured text from various sources to complement state-of-the-art opinion leaderidentification and management in the european public procurement law
… their significance and influence in the context of the public tender using business analytics techniques. Public tenders are of particular interest, as the public sector is one of the biggest demanders on the German market with an annual volume of about 496 billion euro. The IT sector alone …
-
Multi-dimensional mining of unstructured data with limited supervision
As one of the most important data forms, unstructured text data plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to healthcare and scientific research. In many emerging applications, people's information needs from text data are …
-
Extraction of ontology and semantic web information from online business reports
… extraction (IE) methodology to extract unstructured text from the Web. It can create an ontology and a Semantic Web. This research is different from traditional IE systems in that CAINES examines the syntactic and semantic relationships within unstructured text of online business …
-
Natural Language Processing as a Tool in Supporting Clinical Decision-Making
While the amount of unstructured text data continues to grow within the clinical domain, little modelling is carried out in comparison to other industries. My research goal in this thesis is to present machine learning models that can effectively discern the relationships within medical notes, …
-
Enabling Actionable Maintenance Analytics with Ontology-driven Natural Language Processing
… valuable maintenance details are often stored in unstructured text fields. These fields include work descriptions, troubleshooting information, and completed work summaries. While the unstructured text generally contains an implicit ontology, such as a shared vocabulary and references to …
-
Data portraits : aesthetics and algorithms
… a multitude of personal data trails, both textual and behavioral. The data portrait is a way to collect, condense and represent these information trails, which are often time consuming and tedious to find and grasp when read linearly across web pages or domains, into an easy, legible, and …
-
Effective Knowledge Graph Aggregation for Malware-Related Cybersecurity Text
… information presented in large amounts of unstructured text for human readers. Thusly, they are useful for sifting through the abundance of cyber security information that is released through web-based security articles and blogs. This paper presents a pipeline for extracting these …
-
Constraint-based metric-aware approach for relation co-extraction
This thesis focuses on relation extraction within unstructured text data. We are interested in the bootstrapping approach, in which only a small portion of examples are given to train the extractor. The training of the extractor is actually a process of finding good textual representation patterns …
-
Generating Differentially Private Synthetic Text
… network architectures to generate synthetic text that is similar to the text it was trained on without memorizing one-to-one mappings or leaking any sensitive data. To achieve this goal, we fine-tune our models to adhere to a strong notion differential privacy – a mathematical model bounding …
-
Joint document-level information extraction
Constructing knowledge graphs from unstructured text is an important task that is relevant to many domains. Recently neural models have been used to great effect in order to solve many information extraction tasks. However, there are still many challenges that need to be solved before our models …
-
Automated structuring of text space with minimal supervision
Our society has been immersed with massive unstructured text data, posing great challenges for people to fetch needed data, digest critical information, and derive actionable knowledge. The need for text space structuring has attracted a lot of research, but we are still far from solving the real …
-
Index design for information retrieval applications using database concepts
… an important problem. Recent growth in tagged textual data, which is a combination of structured knowledge bases and unstructured text data, has made principled index design for IR applications even more desirable. In this work, we propose a framework for designing IR applications using DB …
-
Privacy-Preserving Natural Language Dataset Generation
… works that dealt with either structured data or unstructured data separately, our work developed a pipeline for generating synthetic datasets given a complex dataset consisting of structured and unstructured text, as well as numerical data. We used a number of metrics to evaluate the generation …
-
Semi-supervised learning and relevance search on networked data
… is applied on a network constructed from unstructured text data. Research results introduced in this thesis provide advanced principles and the first few steps towards a complete and systematic solution of mining networked data.
Page 1 of 3