AlvisNLP 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 is held by the Bibliome group at Inra Jouy-en-Josas, France
See
Please contact Robert Bossy if you have any questions.
This file contains instructions to download, compile AlvisNLP, and install the command-line interface.
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 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 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 install.
This directory must exist.
Launch this script as root
if necessary.
DIR/bin/alvisnlp -help
DIR
is the base directory of your AlvisNLP install. You migh also add the DIR/bin
sub-directory to your PATH
environment variable.
export PATH=DIR/bin:$PATH