Resources by relevance

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Intended audience 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 Social Science researchers can take full advantage of the OpenMinTeD TDM platform for Detecting and Linking Variables in Scientific Publications.
 

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Intended audience Policy makers and Funders, Programmers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial describes how to use TDM to build a Recommender system for scholarly resources and utilise OpenMinTed platform to build and annotate corpuses for this purpose.

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Intended audience Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

This tutorial explains how to use the Bio Term Hub, an aggregator of biomedical terminologies sourced from manually curated databases, to create a terminology suited to the users need. This terminology can be forwarded to OGER, a dictionary-based named entity recogniser. After the tutorial, the user should be able to use b...

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Intended audience Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial walks users through the simple process of creating a workflow in the OpenMinTeD platform that allows them to identify acknowledged projects (i.e. funding information) from scientific publications.
 

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Intended audience Policy makers and Funders, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial walks users through the simple process of creating a workflow in the OpenMinTeD platform that allows them to extract links to DataCite (https://www.datacite.org) - mainly citations to datasets - from scientific publications.

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Intended audience Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial will users through the simple process of creating a workflow in the OpenMinTeD platform that allows them to perform content-based document classification on scientific publications, based on the arXiv, MeSH, ACM and DCC taxonomies.
 

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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: aware of

This tutorial is made up of two parts:
Part I is the OpenMinTED guide to create a workflow that reads from a data source and annotate articles related to chronic liver diseases.
Part II is the guide to use the tools to build a graph displaying the progression between liver conditions.
 

Liver diseases and p...

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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: aware of

This tutorial is made up of two parts:
Part I is the OpenMinTED guide to create a workflow that reads from a data source and annotate articles related to chronic liver diseases.
Part II is the guide to use the tools to build a graph displaying the progression between liver conditions.
 

Liver diseases and p...

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Intended audience Industry and Business, Programmers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

In this course we will explain how IXA pipes have been integrated as Docker images in the OpenMinTeD (OMTD) platform and how can they be used (http://ixa2.si.ehu.es/ixa-pipes/).

The aim of IXA pipes is to provide a modular set of ready to use Natural Language Processing (NLP) tools. IXA pipes uses the same approach across NLP tasks ...

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Intended audience Text and Data miners, Industry and Business, Programmers, Researchers and Students
Level: Introductory: no previous knowledge is required

This tutorial focuses on using the Docker image to annotate raw text files. It shows how to install the docker system on a machine, how to pull the UPFMT image and how to pass the input/output parameters and instantiate the container. The user simply has to provide an input folder containing any number of files to be annotated (.txt or .xmi) ...