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Annotation Tool to Extract Endangered Animals from Text Resources
The goal of this project is the extraction the information listed below from texts downloaded from the Federal Register (https://www.federalregister.gov). The texts are mainly applications for permits, notices about given permits, etc.
This software tool is developed by the Max Planck Institute for the History of Science (http://www.mpiwg-berlin.mpg.de) in collaboration with Dirk Wintergrün and Etienne Benson.
EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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Apolda is a plugin for the Gate framework (see http://sourceforge.net/projects/gate/) that annotates texts with labels of concepts from an arbitrary OWL-ontology.
TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
SEMANTIXS is a semantic information extraction system that can extract, represent and visualize domain-specific information from free-text in the form of complex (and simple) relationships. Refer - http://www.cs.iastate.edu/~semantix/ for more info.
The NITE XML Toolkit supports the creation, analysis, and browsing of annotated multimodal, text, or spoken language corpora, and represents both timing and rich linguistic structure. It contains libraries for developers and some end user tools.
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Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Ontea - Pattern based Semantic Annotation Platform. Ontea search or create semantic meta data from text or documents using pattern based approaches. Implementation currently includes regular expressions (regex) patterns
A lyrical analysis and classification tool focused specifically on rhyming style in rap lyrics. Functions include phonetic transcription, rhyme visualization, and rapper classification.
Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.
This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.
OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.
* Java classes for parsing text, conversion to XML or to evaluate in Java. The parser is textual-script-controlled with a syntax near Backus Naur Format, named ZBNF. * Some routines for conversion: C-Header or Java to XMI, XML-Documentation generation,
Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text.
Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
The Fiber project seeks to create a modular open source text mining tool that provides a contextual foundation for analysis in the dissemination of large quantities of text data.
T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
The main purpose of AMATOOL is to create an application for semiautomatic mark of text, using XML tags. The texts is typical can be archaeological reports or midleagetextscripts.
It is a semiautomtaic editor.