AlvisNLP/ML is a configurable NLP batch processing pipeline. It annotates text documents for the semantic annotation of textual documents. It integrates Natural Language Processing (NLP) tools for sentence and word segmentation, named-entity recognition, term analysis, semantic typing and relation extraction. These tools rely on resources such as terminologies or ontologies for the adaptation to the application domain. Alvis NLP/ML contains several tools for (semi)-automatic acquisition of these resources, using Machine Learning (ML) techniques. New components can be easily integrated into the pipeline. Part of this work has been funded by the European project Alvis and the French project Quaero.

AlvisNLP/ML is held by the Bibliome group at Inra Jouy-en-Josas, France

See

• Nédellec et al., Handbook on Ontology, 2009.
• Ba et Bossy, Interoperability of corpus processing work-flow engines: the case of AlvisNLP/ML in OpenMinTeD, 2016

Please contact Robert Bossy if you have any questions.

This file contains instructions to download, compile AlvisNLP/ML, install the command-line interface, and deploy the web application.

The instructions assume you are running on a Unix system with a shell. If you are running on Windows, then check the instructions in the WINDOWS.md file.

• git
• Java >= 8
• Maven >= 3.0.5

git clone https://github.com/Bibliome/alvisnlp

cd alvisnlp

mvn clean install

We recommend that you set default parameter values for your host. These parameter values avoid to set parameters in plans for external tools.

cp share/default-param-values.xml.template share/default-param-values.xml

This will create a standard default parameter file in share/default-param-values.xml. Edit this file and fill parameter values appropriate for your host.

If you wish your installed AlvisNLP/ML to run with default command-line options, then you put them on the file named default-options.txt in the share directory. Once installed, the options will be automatically prepended to each invocation of alvisnlp.

In the share directory, there is an example file named default-options.txt.template.

./install.sh DIR

DIR is the base directory of your AlvisNLP/ML install. This directory must exist. Launch this script as root if necessary.

DIR/bin/alvisnlp -help

DIR is the base directory of your AlvisNLP/ML install. You migh also add the DIR/bin sub-directory to your PATH environment variable.

export PATH=DIR/bin:$PATH

Deploy the the alvisnlp-rest/target/alvisnlp-rest.war file in your favourite application container.

For instance, on glassfish, run:

asadmin deploy --contextroot CONTEXT --name NAME alvisnlp-rest/target/alvisnlp-rest.war

Set the following context parameters:

You can quick-test the Web Service with the Jetty Maven Plugin:

mvn jetty:run-war

From a browser open the URL of the AlvisNLP/ML application.