entity Search Results


90
Siemens AG qualified provider-led entity/appropriate imaging coalition
Qualified Provider Led Entity/Appropriate Imaging Coalition, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Boehringer Ingelheim new biological entity discovery
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Biopharm GmbH molecular entity
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https://www.bioz.com/result/molecular entity/product/Biopharm GmbH
Average 90 stars, based on 1 article reviews
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CEM Corporation chemical entity mention recognition
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Average 90 stars, based on 1 article reviews
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Human Brain Project entity-attribute-value model with classes and relationships (eav/cr)
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https://www.bioz.com/result/entity-attribute-value model with classes and relationships (eav/cr)/product/Human Brain Project
Average 90 stars, based on 1 article reviews
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Geomagic Inc geometric entity reconstruction software geomagic studio2020
Geometric Entity Reconstruction Software Geomagic Studio2020, supplied by Geomagic Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
geometric entity reconstruction software geomagic studio2020 - by Bioz Stars, 2026-03
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Routledge Ltd the firm as an entity : implications for accounting, economics, and law
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https://www.bioz.com/result/the firm as an entity : implications for accounting, economics, and law/product/Routledge Ltd
Average 90 stars, based on 1 article reviews
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Glaxo Smith gsk 3manchester name of entity
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MultiCell Technologies multicell/multicast coordination entity (mce) 42
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Average 90 stars, based on 1 article reviews
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NEN Life Science named entity normalization
Flow chart of a typical text-mining system. Literature mining systems can be roughly divided into base level and high level. At the base level, there are three important tasks, including named entity <t>recognition</t> <t>(NER),</t> named entity normalization (NEN) and relation extraction detection (RE). Topic recognition (TR), knowledge discovery (KD) and database curation (DC) are handled at the high level.
Named Entity Normalization, supplied by NEN Life Science, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/named entity normalization/product/NEN Life Science
Average 90 stars, based on 1 article reviews
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IQVIA Inc graph-based hierarchical medical entity embedding
Flow chart of a typical text-mining system. Literature mining systems can be roughly divided into base level and high level. At the base level, there are three important tasks, including named entity <t>recognition</t> <t>(NER),</t> named entity normalization (NEN) and relation extraction detection (RE). Topic recognition (TR), knowledge discovery (KD) and database curation (DC) are handled at the high level.
Graph Based Hierarchical Medical Entity Embedding, supplied by IQVIA Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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90
Wolters Kluwer Health clinical entity
Flow chart of a typical text-mining system. Literature mining systems can be roughly divided into base level and high level. At the base level, there are three important tasks, including named entity <t>recognition</t> <t>(NER),</t> named entity normalization (NEN) and relation extraction detection (RE). Topic recognition (TR), knowledge discovery (KD) and database curation (DC) are handled at the high level.
Clinical Entity, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/clinical entity/product/Wolters Kluwer Health
Average 90 stars, based on 1 article reviews
clinical entity - by Bioz Stars, 2026-03
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Image Search Results


Flow chart of a typical text-mining system. Literature mining systems can be roughly divided into base level and high level. At the base level, there are three important tasks, including named entity recognition (NER), named entity normalization (NEN) and relation extraction detection (RE). Topic recognition (TR), knowledge discovery (KD) and database curation (DC) are handled at the high level.

Journal: Molecules

Article Title: Literature Mining of Disease Associated Noncoding RNA in the Omics Era

doi: 10.3390/molecules27154710

Figure Lengend Snippet: Flow chart of a typical text-mining system. Literature mining systems can be roughly divided into base level and high level. At the base level, there are three important tasks, including named entity recognition (NER), named entity normalization (NEN) and relation extraction detection (RE). Topic recognition (TR), knowledge discovery (KD) and database curation (DC) are handled at the high level.

Article Snippet: At the base level, there are three important tasks: named entity recognition (NER), named entity normalization (NEN) and relation extraction (RE).

Techniques: Extraction