Information Extraction

The process of automatically extracting relevant information from documents.

Resources by relevance

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Intended audience Text and Data miners
Level: Intermediate: able to

A software component for vine/grape variety named entity extraction and clustering

VineSum is an openMinTeD executable component that, given a collection of documents, it: 

    -...

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Intended audience Industry and Business, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how the use case application on Agriculture, and more specifically Viticulture, can be utilized by researchers of this domain on a specific topic by using the components and the workflows that are available at the OpenMinTed Platform.

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Intended audience Industry and Business, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how the use case application around the Food Safety thematic area, and more specifically around Food Safety and Water Health, can be utilized by researchers of this domain on a specific topic by using the components and the workflows that are available at the OpenMinTed Platform.

By  Martin Krallinger, Ramon Alonso-Allende Erhardt, Alfonso Valencia
Publication year: 2005  |  Text And Data Mining  |  Information Extraction
By  Martin Krallinger
Publication year: 2010  |  Text And Data Mining  |  Information Extraction
By  Martin Kaltenböck (Semantic Web Company), Timea Turdean (Semantic Web Company)
By  Piotr Przybyła, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou