Global ETD Search
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Showing 1 to 20 of 1559 for “"Entity"”.
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Toward Entity-Aware Search
… the various essential aspects of supporting entity-aware Web search. To begin with, we tackle the core challenge of ranking entities, by distilling its underlying conceptual model Impression Model and developing a probabilistic ranking framework, EntityRank, that is able to seamlessly …
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Entity-based scene understanding
… task for computational systems. We define entity-based scene understanding as the task of identifying the entities in a visual scene from multiple descriptions. This task subsumes coreference resolution, bridging resolution, and grounding to produce mutually consistent relations between …
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Entity finder: A system for entity web page retrieval using pseudo-relevance feedback
… all the online information about a particular entity (e.g., a person or a product) is a task commonly needed in many applications. In many cases, there often already exists a database with limited information about interesting entities, but those databases usually suffer from incompleteness and …
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Knowledge Based Open Entity Matching
… we argue for the definition a knowledge-based entity matching framework for the implementation of a reliable and incrementally scalable solution. Such knowledge base is formed by an ontology and a set of entity matching rules suitable to be applied as a reliable equational theory in the context …
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Concepts of the entity theory
Thesis (M.A.)--Michigan State University,
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Robust Entity Linking in Heterogeneous Domains
Entity Linking is the task of mapping terms in arbitrary documents to entities in a knowledge base by identifying the correct semantic meaning. It is applied in the extraction of structured data in RDF (Resource Description Framework) from textual documents, but equally so in facilitating …
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Structured entity querying over unstructured text
… internal relationships that they contain. The EntityRank system allows users to specify the target entities for which they are interested within the query, which brings us one step closer to being able to describe the entity relationships. But this expressiveness is still limited because the …
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The Taxable Entity Concept--Business Organizations
Made available in DSpace on 2014-12-11T21:53:25Z (GMT). No. of bitstreams: 1 7412021.pdf: 15762440 bytes, checksum: 93a85ba8d22b4fba44e68056ed20f27e (MD5) Previous issue date: 1973
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Sentiment Analysis on Twitter feeds to establish opinion towards entities in single entity and multi-entity texts
… the sentiment of the tweet in relation to the entity or entities, where more than one entity exists. <br/><br/>This task has been approached through a hybrid approach which uses the popular sentiment lexicon – SentiWordNet 3.0 to score related descriptor words, that are within 2-word spaces of …
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Knowledge Graph Extension by Entity Type Recognition
… knowledge graph extension framework based on entity type recognition. The framework aims to achieve high-quality knowledge extraction by aligning the schemas and entities across different knowledge graphs, thereby enhancing the performance of the extension. This paper elucidates three major …
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Provenance in Open Data Entity-Centric Aggregation
… the linked data approach. On the other hand, the entity-centric model is a promising data model that outperforms the linked data approach because it solves the lack of explicit semantics and the semantic heterogeneity problems. However, current open data which is available on the web as raw …
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Improving Entity Based Information Retrieval In Video
This PhD by project portfolio advances entity-based information retrieval in video, enabling deep search across multi-modal media in the e-commerce sector. Based in applied industrial research, the resulting work led to several granted technology patents that form a commercial system. The system …
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SKEWER: Sentiment Knowledge Extraction with Entity Recognition
<p>The California state legislature introduces approximately 5,000 new bills each legislative session. While the legislative hearings are recorded on video, the recordings are not easily accessible to the public. The lack of official transcripts or summaries also increases the effort required to …
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Entity-based long document summarization using LLMs
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-05-01
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Descriptive knowledge graph for explaining entity relationships
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Microbial named entity recognition using BERT models
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01
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A study of coherence in entity linking
Entity linking (EL) is the task of mapping entities, such as persons, locations, organizations, etc., in text to a corresponding record in a knowledge base (KB) like Wikipedia or Freebase. In this paper we present, for the first time, a controlled study of one aspect of this problem called …
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Exploiting knowledge graphs for entity-centric prediction
… on two a family of text-based prediction -- entity-centric classification and regression where the response variable can be treated as an attribute of a group of central entities. As a form of knowledge representation, knowledge graphs have widespread applications in information retrieval, …
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