Download JAR files tagged by recognition with all dependencies

Contains the SCIE main application and the CLI interface. This project integrates the named entity recognition (NER), the PDF import and the classification and interfaces with the UIMA framework. The command line interface can be used to produce a set of UIMA XCAS files.

The NICTA t3as Named-Entity Recognition is a Java based Named-Entity Recognition library which extracts named entities from text such as Organisation, Location, Date and Person names. This library contains files common between the other modules in the project.

The NICTA t3as Named-Entity Recognition is a Java based Named-Entity Recognition library which extracts named entities from text such as Organisation, Location, Date and Person names. This is the main library that does the actual NER work.

Uses the Linnaeus software (http://linnaeus.sourceforge.net/) to detect species mentions and map them to NCBI taxonomy IDs. This project contains the UIMA wrapper around the original Linnaeus software but does not include any dictionaries. Since Linnaeus works with different dictionaries (e.g. concrete species name mention recognition, species proxy/clue recognition, ...) each of the different resource has been stored in a project of its own in jcore-projects. The default mention dictionary is stored in the jcore-linneaus-species-dict project, for example.

This project is a project for the JCoRe Linnaeus Annotator. The dictionary contained herein is used for the recognition of concrete species names in text, e.g. "human", "mouse", "n. furzeri", "c. elegans" etc. It does not contain species proxies, i.e. indirect clues to a species like the word "patient" which most likely refers to a human. For this task there is the project jcore-linnaeus-species-ae-proxies-dict.

This project is a resource for the JULES Linnaeus Annotator. The dictionary contained herein is used for the recognition of concrete species names in text, e.g. "human", "mouse", "n. furzeri", "c. elegans" etc as well as species hints, i.e. indirect clues to a species like the word "patient" which most likely refers to a human. For the task of only finding concrete species names in text, there is the project jcore-linnaeus-species-ae-species-dict.

This module forms the main component of the ontology-based named entity recognition (NER). It can store arbitrary directed ontology graphs and supports multiple labels (ontological surface forms) per ontology graph node. It implements an easy to use class NamedEntityRecognition which can be used to (fuzzily) find the ontology instances in the text. This module has no dependencies.

JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks. It was created by Ondrej Martinsky in 2006 and 2007 as part of the research plan "Security-oriented research in information technology, MSM 0021630528" at Brno University of Technology.

This project is a resource for the JCoRe Linnaeus Annotator. The dictionaries contained herein are used for the recognition of concrete species names in text, e.g. "human", "mouse", "n. furzeri", "c. elegans" etc as well as species hints, i.e. indirect clues to a species like the word "patient" which most likely refers to a human. Additionally to such rather clear proxies, this project also includes a small dictionary containing maximum-frequency-proxies for genus expressions like "Drosophila" which will be mapped to "D. melanogaster". For the task of only finding concrete species names in text, there is the project jcore-linnaeus-species-ae-species-dict.

<p> MMBase Utils is a part of MMBase, but can also be used in other projects. It contains several kind of utility classes.</p> <p>Highlights:</p> <ul> <li>An implementation of 'events'. Threads can use this to communicate certain things. Using mmbase-clustering, these events can also be sent to other servers.</li> <li>A logging framework</li> <li>A framework for string and byte array transformeration, plus a whole lot of implemetentations for that.</li> <li>Several java.util like classes (collections, dateparsing)</li> <li>File type recognition ('magicfile')</li> <li>The MMBase resourceloader, a generic fall-back mechanism for configuration files and similar resources.</li> <li>...</li> </ul>