scie.sc.cit-ec.uni-bielefeld.de

SCIE

SCIE – Welcome. Spinal Cord Injury Information Extraction. SCIE is an ontology-based information extraction system that automatically extracts relevant preclinical knowledge about spinal cord injury treatments from natural language text. This web service annotates individual papers that describe preclinical research (in PDF or plain text format), either via direct upload. Or automatically by using our API. SCIE is free software licensed under the AGPL v3.0. If you use this work scientifically, please cite.

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SCIE | scie.sc.cit-ec.uni-bielefeld.de Reviews

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SCIE – Welcome. Spinal Cord Injury Information Extraction. SCIE is an ontology-based information extraction system that automatically extracts relevant preclinical knowledge about spinal cord injury treatments from natural language text. This web service annotates individual papers that describe preclinical research (in PDF or plain text format), either via direct upload. Or automatically by using our API. SCIE is free software licensed under the AGPL v3.0. If you use this work scientifically, please cite.

<META> KEYWORDS

1 step 1

2 welcome

3 step 2

4 upload file

5 step 3

6 view result

7 getting started

8 bibliography

9 associated institutes

10 license

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SCIE | scie.sc.cit-ec.uni-bielefeld.de Reviews

https://scie.sc.cit-ec.uni-bielefeld.de

SCIE – Welcome. Spinal Cord Injury Information Extraction. SCIE is an ontology-based information extraction system that automatically extracts relevant preclinical knowledge about spinal cord injury treatments from natural language text. This web service annotates individual papers that describe preclinical research (in PDF or plain text format), either via direct upload. Or automatically by using our API. SCIE is free software licensed under the AGPL v3.0. If you use this work scientifically, please cite.

INTERNAL PAGES

scie.sc.cit-ec.uni-bielefeld.de

1

SCIE Version 2.0

http://scie.sc.cit-ec.uni-bielefeld.de/docu

SCIE Version 2.0. The binary (.tar.bz2, 31 MB). Prior versions and publications. Running a public instance on the internet. Starting and using the CLI. Processing the XCAS file. Run the unit tests. Optional) Download the dependencies manually. The purpose of SCIE —. Spinal Cord Injury Information Extraction. SCIE provides both a command line interface with UIMA XCAS. SCIE extracts the information in the following stages:. Extract the plain text. Used in the experiments (including, if possible, their spec...

2

SCIE

http://scie.sc.cit-ec.uni-bielefeld.de/api.html

SCIE – API. For large-scale analysis of PDF files, we provide a simple application programmers interface (API) which allows you to integrate this webservice into your own applications. By using our API you confirm to have the permission to upload the documents and agree to our the terms and conditions. Both requirements are elaborated on the upload page. You can use the API by sending an HTTP POST-request to. Http:/ scie.sc.cit-ec.uni-bielefeld.de/api/. The request must be encoded as. May be one of.

3

SCIE

http://scie.sc.cit-ec.uni-bielefeld.de/imprint.html

Angaben gemäß 5 TMG:. Prof Dr.-Ing. Gerhard Sagerer. Telefon: 49 521 106-12249. E-Mail: cimiano@cit-ec.uni-bielefeld.de. Ministry for Innovation, Science and Research, Völklinger Straße 49 , 40221 Düsseldorf. Value Added Tax identification number. Pursuant to 27 a, VAT ID: DE811307718 - Finanzamt [tax office] Bielefeld Innenstadt. SCIE - Spinal Cord Injury Information Extraction. C) Semantic Computing Group Bielefeld University 2014. Roman Klinger, Benjamin Paaßen, Andreas Stöckel.

4

SCIE

http://scie.sc.cit-ec.uni-bielefeld.de/index.html

SCIE – Welcome. Spinal Cord Injury Information Extraction. SCIE is an ontology-based information extraction system that automatically extracts relevant preclinical knowledge about spinal cord injury treatments from natural language text. This web service annotates individual papers that describe preclinical research (in PDF or plain text format), either via direct upload. Or automatically by using our API. SCIE is free software licensed under the AGPL v3.0. If you use this work scientifically, please cite.

5

SCIE

http://scie.sc.cit-ec.uni-bielefeld.de/upload.html

SCIE – Upload. On your local computer, select the paper from the SCI domain you want analyzed. The document must either be in PDF or plain text format (UTF-8 encoding). After processing, the document will be deleted from our server. Obtaining articles about preclinical SCI studies. PubMed Central is a database of full text articles in the biomedical domain. The following link leads to a list of freely available articles from the SCI domain with a Creative Commons license:. Link to PubMed Central. C) Sema...

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romanklinger.de

Software – Roman Klinger's Homepage

http://www.romanklinger.de/stuff

Joint Factorgraph-based Sentiment Analysis. This is a software for joint aspect and subjective phrase extraction from text. It is not end-user friendly, but I am working on that. Currently, it is probably helpful for those who want to have a closer look at the things we described in the related papers. If you use this software, please cite [ bib. Spinal Cord Injury Information Extraction Framework. If you use this software, please cite [ bib. If you use it, please cite [ bib. I developed this software in...

roman-klinger.de

Software – Roman Klinger's Homepage

http://www.roman-klinger.de/stuff

Joint Factorgraph-based Sentiment Analysis. This is a software for joint aspect and subjective phrase extraction from text. It is not end-user friendly, but I am working on that. Currently, it is probably helpful for those who want to have a closer look at the things we described in the related papers. If you use this software, please cite [ bib. Spinal Cord Injury Information Extraction Framework. If you use this software, please cite [ bib. If you use it, please cite [ bib. I developed this software in...

opensource.cit-ec.de

Overview - SCIE: Spinal Cord Injury Information Extraction - Research for Cognitive Interaction

https://opensource.cit-ec.de/projects/scie

SCIE: Spinal Cord Injury Information Extraction. The purpose of SCIE Spinal Cord Injury Information Extraction is to extract relevant information about pre-clinical experiments on spinal cord injury treatments from bio-medical research papers. SCIE tries to accomplish this goal by using a large ontological database, a set of manually defined rules and machine learning. If you wish, you can try SCIE without installing it on your local machine using our webservice:.

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SEND US AN E-MAIL. WELCOME TO THE OFFICIAL SCIE WEBSITE. Welcome to the Official Website of the Southern Couincil of Iron Workers Employers, Inc. Inside you will find news, helpful links, and critical information about the Iron Workers Indestry. We hope the tools you find on this site will be benificial to you. (Find out more: Whats New. To benefit the Ironworking Industry, including employers, employees, and customers. NEW AGREEMENTS ARE NOW AVAILABLE ONLINE FOR REVIEW. CLICK HERE TO VIEW.

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SCIE uses cookies to store information on your computer. This information is used to make parts of the site work and so we can understand how the site is used. If you have used some parts of the site, or have registered for a MySCIE account, a cookie will have already been set. To find out more about why we use cookies and for information on how to delete and block cookies from this site, please visit our cookies page. I accept cookies from this site. This website uses cookies. The world of work. Review ...

scie.sc.cit-ec.uni-bielefeld.de

SCIE

SCIE – Welcome. Spinal Cord Injury Information Extraction. SCIE is an ontology-based information extraction system that automatically extracts relevant preclinical knowledge about spinal cord injury treatments from natural language text. This web service annotates individual papers that describe preclinical research (in PDF or plain text format), either via direct upload. Or automatically by using our API. SCIE is free software licensed under the AGPL v3.0. If you use this work scientifically, please cite.

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Li bo@uestc.edu.cn，028-618313. 友情链接 - - -. 清水河校区地址成都市高新区西区西源大道2006号电子科技大学清水河校区科研楼B区邮编 611731. 沙河校区地址四川省成都市建设北路二段4号电子科技大学沙河校区通信大楼二楼邮编 610054. 2013 电子科技大学通信与信息工程学院技术支持星辰工作室.

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Society for Cultural Interaction in East Asia

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