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Showing 1 to 7 of 7 for “"Phrase Mining"”.
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Constructing and modeling text-rich information networks: a phrase mining-based approach
… a new line of techniques relying on the idea of phrase mining to bridge textual documents and structured entities. We will first introduce the phrase mining method named SegPhrase+ to globally discover semantically meaningful phrases from massive textual data, providing a high quality dictionary …
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A phrase mining and qualitative comparative analysis incorporating stakeholder perspectives in international engineering projects
The student, Kelsey Schreiber, accepted the attached license on 2019-12-11 at 07:15.
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Autoentity: automated entity detection from massive text corpora
… called AutoEntity, that performs automated phrase mining to create entity mention candidates and enforces lexico-syntactic rules to select entity mentions from candidates. Our experiments on real-world datasets in different domains and multiple languages have demonstrated the effectiveness …
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Text mining at multiple granularity: leveraging subwords, words, phrases, and sentences
… laying the foundation for many downstream text mining and natural language processing (NLP) tasks. Traditionally, NLP and text mining techniques are applied to the raw texts while treating individual words as the base semantic unit. However the assumption that individual word-tokens are the …
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Mining latent entity structures from massive unstructured and interconnected data
… or loosely structured but interconnected data. Mining latent structured information around entities uncovers semantic structures from massive unstructured data and hence enables many high-impact applications, including taxonomy or knowledge base construction, multi-dimensional data analysis and …
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A schema conversion approach for constructing heterogeneous information networks from documents
… due to their multi-typed nodes and edges, mining such networks has produced richer knowledge and insights. To extend the application of heterogeneous information network analysis to document analysis, it is necessary to build information networks from a collection of documents while …
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Constructing and mining structured heterogeneous information networks from massive text corpora
… it first identifies corpus-wide high-quality phrases. From high-quality phrases, we distinguish typed entities and relational phrases, and further connect entities by relational phrases. In this way, we organize the entities and relations as heterogeneous information networks. Such networks …