Programmers

The Freeling component provides basic language analysis functionalities (tokenization, lemmatization, Pos Tagging and dependency parsers.) for the variety of languages that Freeling includes (English, Spanish, Portuguese, Italian, French, German, Russian, Catalan, Galician, Croatian, Slovene). The specific usage scenario for this component co...

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...

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 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.

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 ...

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) ...

This tutorial focuses on using the code directly on a host machine. It gives access to the code (Python) + models and shows the user how to run the code from the console. Also, all the steps needed on how to train new models are given, as well as other pointers. The user will be able to download the code, run a tokenizer/tagger/parser on a se...

In the current context of scientific information overload in which new knowledge is created at a rapid pace, we propose to develop text summarization services for automatically identifying the most important information of a research article. The work will be based on an adaptation of our current scientific text mining and summarization techn...

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...