Named Entity Recognition

This tutorial includes three parts that describe how to use the Wheat Phenotypic Information Extractor and the two end-user applications, WheatIS and AlvisIR, that integrates its results for the use case developed by Inra during the OpenMinTeD project.The application extracts information related to wheat on phenotypes, genes, markers, species...

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...

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 ...

The objective of this tutorial is to showcase how the Neuroscience use case available at the OpenMinTeD platform can facilitate the curation of neuroscience entities from the literature with the aim of supporting ongoing curation efforts in the Blue Brain Project (BBP), at the École Polytechnique Fédérale de Lausanne (EPFL).
 

The objective of this tutorial is to showcase the use case of “Extract Metabolites and their Properties and Modes of Actions”. The tutorial describes step-by-step how to create a workflow in the OpenMinTeD platform that can read input from a source and annotate entities useful for the curation of the ChEBI database.
 

This tutorial explains how to use the “Arabidopsis Gene Regulation Extractor” application available from the OpenMinTeD platform. It also explains the scientific issues it addresses, and how results of the TDM process can be exploited by researchers through the FlagDB++ application. It is related to the AS-D “Information Extraction of Mechani...

This tutorial explains how to use the “Habitat-Phenotype Relation Extractor for Microbes” application available from the OpenMinTeD platform. It also explains the scientific issues it addresses, and how the results of the TDM process can be queried and exploited by researchers through the Florilège application. It is related to the AS-C “Micr...

The OpenMinTeD project offers an integrated registry of text mining components alongside a powerful corpus builder. The platform can be used to identify a set of documents of interest and then run a text mining algorithm on those documents to quickly extract the information hidden away inside of them.

A journalist might want...

The Unstructured Information Management Architecture (UIMA) is a widely used software framework and specification to create multi modal analysis systems, in particular for Natural Language Processing (NLP) purposes. Especially, the OpenMinted platform builds upon this architecture enhancing the need for NLP tools that comply to UIMA.In this t...

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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