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Our research TEAM investigates methodologies for the extraction of both explicit and implicit knowledge from large collections of textual documents, in particular in the domains of life sciences and health-care. This field is known as text mining, natural language processing (NLP) and/or text analytics. More precisely, we are intrested in. Terminology mining (term/entity identification, controlled vocabularies). Relationship extraction from text (linking entities).

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gnTEAM | Main / HomePage | gnteam.cs.manchester.ac.uk Reviews
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Our research TEAM investigates methodologies for the extraction of both explicit and implicit knowledge from large collections of textual documents, in particular in the domains of life sciences and health-care. This field is known as text mining, natural language processing (NLP) and/or text analytics. More precisely, we are intrested in. Terminology mining (term/entity identification, controlled vocabularies). Relationship extraction from text (linking entities).
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1 recent changes
2 homepage
3 resources
4 pre processing
5 parsing
6 pos tagging
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8 term extraction
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10 temporal expressions
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gnTEAM | Main / HomePage | gnteam.cs.manchester.ac.uk Reviews

https://gnteam.cs.manchester.ac.uk

Our research TEAM investigates methodologies for the extraction of both explicit and implicit knowledge from large collections of textual documents, in particular in the domains of life sciences and health-care. This field is known as text mining, natural language processing (NLP) and/or text analytics. More precisely, we are intrested in. Terminology mining (term/entity identification, controlled vocabularies). Relationship extraction from text (linking entities).

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gnTEAM | Text extraction, analytics, mining

http://gnteam.cs.manchester.ac.uk/index.php

Text extraction, analytics, mining. Text Extraction, Analytics and Mining Our research TEAM investigates methodologies for the extraction of both explicit and implicit knowledge from large collections of textual documents, in particular in the domains of life sciences and health-care. Relationship extraction from text. Architectures for data and text integration. Large-Scale Extraction And Contextualization Of Biomolecular Events. Mining Of Scientific Methodologies From Literature. Within the School of C...

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Our research TEAM investigates methodologies for the extraction of both explicit and implicit knowledge from large collections of textual documents, in particular in the domains of life sciences and health-care. This field is known as text mining, natural language processing (NLP) and/or text analytics. More precisely, we are intrested in. Terminology mining (term/entity identification, controlled vocabularies). Relationship extraction from text (linking entities).

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