Show simple item record

dc.contributor.advisorBethard, Steven
dc.contributor.authorSu, Xin
dc.creatorSu, Xin
dc.date.accessioned2024-12-23T23:39:21Z
dc.date.available2024-12-23T23:39:21Z
dc.date.issued2024
dc.identifier.citationSu, Xin. (2024). Structured Information Extraction and Applications in Complex Reasoning (Doctoral dissertation, University of Arizona, Tucson, USA).
dc.identifier.urihttp://hdl.handle.net/10150/675500
dc.description.abstractStructured information is generally easier to store, understand, and utilize compared to unstructured text. Extracting structured information from unstructured text and applying this extracted information to various tasks and use cases has been a longstanding research area. In this dissertation, we address both the extraction of structured information and its application to complex reasoning tasks. For structured information extraction, we focus on temporal information extraction, particularly on temporal normalization. Through systematic comparative experiments, we propose a strategy that enhances the generalization capability of time expression recognition systems—the crucial first step in the temporal normalization task—in new domains. Additionally, we introduce a semantic parsing framework based on large language models for end-to-end temporal expression recognition. Regarding the application of structured information, we focus on two tasks: temporal reasoning and open-domain multi-hop reasoning. In temporal reasoning, we combine extracted temporal graphs with Transformer-based question-answering systems, significantly improving their temporal reasoning capabilities. For the open-domain multi-hop reasoning task, we propose a semi-structured chain-of-thought approach that effectively integrates structured knowledge graphs, unstructured text, and parametric knowledge within large language models to answer knowledge-intensive questions.
dc.language.isoen
dc.publisherThe University of Arizona.
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectComplex Reasoning
dc.subjectNatural Language Processing
dc.subjectQuestion Answering
dc.subjectStructured Information Extraction
dc.subjectTime Normalization
dc.titleStructured Information Extraction and Applications in Complex Reasoning
dc.typetext
dc.typeElectronic Dissertation
thesis.degree.grantorUniversity of Arizona
thesis.degree.leveldoctoral
dc.contributor.committeememberBlanco, Eduardo
dc.contributor.committeememberLu, Xuan
dc.contributor.committeememberHoward, Phillip
thesis.degree.disciplineGraduate College
thesis.degree.disciplineInformation
thesis.degree.namePh.D.
refterms.dateFOA2024-12-23T23:39:21Z


Files in this item

Thumbnail
Name:
azu_etd_21805_sip1_m.pdf
Size:
1.998Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record