Linguistic Resources and Tools at the JRC

Link: http://langtech.jrc.ec.europa.eu/JRC_Resources.html

The advisor

Link: http://theadvisor.osu.edu/

Intro: Researchers typically rely on manual methods to discover research of interest such as keyword based searchon search engine, browsing publication list of known experts or reading references of interesting paper. These techniques are time-consuming and only allow reach a limited set of documents.

NRL: The Natural Rule Language

Link: http://nrl.sourceforge.net/

Intro: The Natural Rule Language is a model-driven language aimed at improving quality and time to market in integration projects. It enables users to constrain, modify and map data in diverse formats. NRL works at a high level, and is designed for automatic translation to execution languages.

NRL's main remit is to provide a user-friendly alternative to languages like OCL, XSLT, XPath, Schematron, and many others, particularly in scenarios where they would be considered too technical.

Calais

Link: http://www.opencalais.com/

Intro: The OpenCalais Web Service automatically creates rich semantic metadata for the content you submit – in well under a second. Using natural language processing (NLP), machine learning and other methods, Calais analyzes your document and finds the entities within it. But, Calais goes well beyond classic entity identification and returns the facts and events hidden within your text as well.

Downloading full CiteSeerX data

Just saw this link and found it very interesting.

Link: http://b010.blogspot.com/2008/11/downloading-full-citeseerx-data.html

I copy here for backup (to avoid if the original link dies).

Steps for downloading the full dataset from CiteSeerX:

1. Download and extract the "Demo" from http://www.oclc.org/research/software/oai/harvester.htm
2. Go to the directory of the extracted files, type the following command to download the full dataset of CiteSeerX to the file "citeseerx_alldata.xml"
   java -classpath .;oaiharvester.jar;xerces.jar org.acme.oai.OAIReaderRawDump http://citeseerx.ist.psu.edu/oai2 -o citeseerx_alldata.xml

Thanks the author for that.

--
Cheers,
Vu

Preference Learning

Introduction: http://www.ke.tu-darmstadt.de/publications/papers/PLBook-Introduction.pdf

Applications to NLP???

Language Technology related Companies

Here, I will collect information about industry companies relating to developing and using Language Technology (LT). I would like to see how potential LT has in industry.

Worldwide

1) LingvoSoft

2) Bimaple
3) 

Vietnam

1) Vietgle (Lac Viet Company)
2) ViLangTek
3)