Resources by relevance

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Intended audience Programmers
Level: Introductory: aware of

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...

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Intended audience Programmers
Level: Intermediate: able to

In this tutorial we describe a way to wrap a command line tool (NLProt) as web service and share it through the OpenMinTeD platform. 

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Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Intermediate: able to

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...

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

The purpose of this tutorial is to explain how to add annotation resources to the OMTD platform. In this context, annotation resources mean ontologies or vocabularies selected in different ontology repositories like AgroPortal.
 

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Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Intermediate: able to

BO-LSTM is a model based on biomedical ontologies and Long short-term memory networks. The model was developed in python, using keras. To demonstrate its utility, we trained a classification model on the DDI corpus, using the ChEBI ontolo...

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Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Advanced: apply

The objective of this component is to scan a tokenized text to detect entries in BabelNet in the input document. This component is the base of entity linking and word sense disambiguation as it detects the candidates to be disambiguated. The component produces WSD item annotations as defined in the DKPro WSD typesystem. Afterwards, disambigua...

By  Helene Brinken
Publication year: 2017  |  Open Science
By  Piotr Przybyła, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou