Automatic Extraction of Events from Open Source Text for Predictive Forecasting

2012 ◽  
pp. 51-67 ◽  
Author(s):  
Elizabeth Boschee ◽  
Premkumar Natarajan ◽  
Ralph Weischedel
Keyword(s):  
Open Source ◽  
Automatic Extraction ◽  
Source Text

WikiSpeech – enabling open source text-to-speech for Wikipedia

2016 ◽  
Author(s):  
John Andersson ◽  
Sebastian Berlin ◽  
André Costa ◽  
Harald Berthelsen ◽  
Hanna Lindgren ◽  
...  
Keyword(s):  
Open Source ◽  
Text To Speech ◽  
Source Text

scholarly journals Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics

2013 ◽  
Vol 9 (2) ◽  
pp. e1002854 ◽  
Author(s):  
Hamish Cunningham ◽  
Valentin Tablan ◽  
Angus Roberts ◽  
Kalina Bontcheva
Keyword(s):  
Open Source ◽  
Text Analytics ◽  
Source Text

scholarly journals TACIT: An open-source text analysis, crawling, and interpretation tool

2016 ◽  
Vol 49 (2) ◽  
pp. 538-547 ◽  
Author(s):  
Morteza Dehghani ◽  
Kate M. Johnson ◽  
Justin Garten ◽  
Reihane Boghrati ◽  
Joe Hoover ◽  
...  
Keyword(s):  
Open Source ◽  
Text Analysis ◽  
Source Text

TACIT: An Open-Source Text Analysis, Crawling and Interpretation Tool

2015 ◽  
Author(s):  
Morteza Dehghani ◽  
Kate M. Johnson ◽  
Justin Garten ◽  
Vijayan Balasubramanian ◽  
Anurag Singh ◽  
...  
Keyword(s):  
Open Source ◽  
Text Analysis ◽  
Source Text

Text Retrieval for XML-Encoded Corpora: A Lexical Approach

2009 ◽  
Author(s):  
Liam R. E. Quin
Keyword(s):  
World Wide Web ◽  
Open Source ◽  
Full Text ◽  
World Wide ◽  
Text Retrieval ◽  
Source Text ◽  
Xml Documents ◽  
Text Corpora ◽  
Lexical Approach

This paper describes some modifications done to an open source text retrieval package to make it XML-aware, and contrasts this lexical approach, in which XML documents are primarily treated as sequences of characters rather than trees, with the W3C XPath 1.0 and XQuery 2.0 Full-Text facility. Specific usage scenarios are taken into consideration, including World Wide Web publication and the searching and analysis of text corpora for research purposes.

Automatic Extraction of Glacial Outlines, Contours and Volume of Ice from Satellite Imageries (Use of Open Source GIS Software - QGIS)

2018 ◽  
Vol 6 (9) ◽  
pp. 138
Author(s):  
Daljit Singh
Keyword(s):  
Remote Sensing ◽  
Open Source ◽  
Educational Institution ◽  
Geographical Information ◽  
Maintenance Cost ◽  
Automatic Extraction ◽  
Funding Agencies ◽  
Teachers And Students ◽  
Open Source Gis ◽  
Gis Software

Remote Sensing and GIS are the two Geo-Spatial Technologies increasingly used in Geographic Research. The high cost of the software’s used to apply these technologies to geographical data did not allow expansion of its use in India except in the projects which are financed by some funding agencies. Moreover, its use for individual research by teachers and students in absence of license access to these technologies was highly restricted. Even if a license is purchased by the educational institution, its maintenance cost further inhibits is use. The present paper highlights how QGIS, open source GIS software can be used to extract glaciers from satellite imageries. By adopting UBUNTU, an open source operating system and QGIS, an open source GIS software any department of Geography can establish a GIS laboratory where not only teachers but students may learn its applications and start using it in a big way. This will enable geography teachers, researchers, and students to use remote sensing and geographical information system in understanding, analyzing and highlighting the importance of various indicators of development.

Evolution of the Linux Credits file: Methodological challenges and reference data for Open Source research (originally published in Volume 9, Number 6, June 2004)

First Monday ◽  
2005 ◽  
Author(s):  
Ilkka Tuomi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Time Series Data ◽  
Reference Data ◽  
Series Data ◽  
Automatic Extraction ◽  
Policy Recommendations ◽  
The Core ◽  
Methodological Challenges ◽  
Geographical Expansion

This paper presents time–series data that can be extracted from the Linux Credits files and discusses methodological challenges of automatic extraction of research data from open source files. The extracted data is used to describe the geographical expansion of the core Linux developer community. The paper also comments on attempts to use the Linux Credits data to derive policy recommendations for open source software.

scholarly journals A Python package for text processing for Serbian: nlpheart

2020 ◽  
Vol 70 (3) ◽  
pp. 41-45
Author(s):  
Stevan Ostrogonac ◽  
Borko Rastović ◽  
Elizaveta Liliom
Keyword(s):  
Open Source ◽  
State Of The Art ◽  
Text Processing ◽  
Data Preparation ◽  
Source Text ◽  
The Past ◽  
Automation Systems ◽  
Textual Data ◽  
Python Package

Within the past two decades, text processing became an important part of most state-of-the-art advanced automation systems. However, for many under-resourced languages it is still challenging to perform textual data preparation, due to the lack of adequate tools. In this work, a python package for text processing for Serbian called nlpheart is presented. This package has been developed in industry and it is planned to be released as an open-source text processing tool for Serbian for academic purposes as well.

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