Freebase is a database that has all kinds of data in it and an API. Because it's an open database, anyone can enter new data in Freebase. An example page in the Freebase db looks pretty similar to a Wikipedia page. When you enter new data, the app can make suggestions about content. The topics in Freebase are organized by type, and you can connect pages with links, semantic tagging. So in summary, Freebase is all about shared data and what you can do with it.
OpenLaszlo programs are written in XML and JavaScript and transparently compiled to Flash and, with OpenLaszlo 4, DHTML. The OpenLaszlo APIs provide animation, layout, data binding, server communication, and declarative UI. An OpenLaszlo application can be as short as a single source file, or factored into multiple files that define reusable classes and libraries.
OpenLaszlo is "write once, run everywhere." An OpenLaszlo application developed on one machine will run on all leading Web browsers on all leading desktop operating systems.
Enunciate is a Web service deployment framework. It is not another Web service stack implementation. Rather, Enunciate leverages existing Web service technologies to provide a mechanism to build, package, deploy, and to clearly, accurately deliver your Web service API on the Java platform.
Shalmaneser is a supervised learning toolbox for shallow semantic parsing, i.e. the automatic assignment of semantic classes and roles to text. The system was developed for Frame Semantics; thus we use Frame Semantics terminology and call the classes frames and the roles frame elements. However, the architecture is reasonably general, and with a certain amount of adaption, Shalmaneser should be usable for other paradigms (e.g., PropBank roles) as well. Shalmaneser caters both for end users, and for researchers.
Online Demo of the TreeTagger. A tool for annotating text with part-of-speech and lemma information which has been developed at the Institute for Computational Linguistics of the University of Stuttgart.
The TreeTagger is a tool for annotating text with part-of-speech and lemma information which has been developed within the TC project at the Institute for Computational Linguistics of the University of Stuttgart. The TreeTagger has been successfully used to tag German, English, French, Italian, Dutch, Spanish, Bulgarian, Russian, Greek, Portuguese, Chinese and old French texts and is easily adaptable to other languages if a lexicon and a manually tagged training corpus are available.
SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity.
PDFjam is a small collection of shell scripts which provide a simple interface to some of the functionality of the excellent pdfpages package (by Andreas Matthias) for pdfLaTeX.
Quantitative Fonds arbeiten mit ausgeklügelten Rechenmodellen und verzichten auf die subjektive Titelauswahl durch menschliche Manager. Doch die Produkte haben ihre Tücken, wie die jüngste Krise beweist.
Alle Programme und Resourcen auf der Liste sind frei, d.h. kostenlos (für Forschungszwecke) verfügbar, auf deutschsprachige Texte anwendbar und sofort startklar, d.h. sie müssen nicht erst mit Hilfe von z.B. annotierten Korpora trainiert werden. Die Liste ist natürlich unvollständig (Stand 22.5.2007).
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A. Esuli, and F. Sebastiani. Proceedings of EACL-06, 11th Conference of the European Chapter of the Association for Computational Linguistics, Trento, IT., (2006)
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G. Fung, J. Yu, and W. Lam. Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on, (20-23 March 2003)
X. Wan, and J. Yang. SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page 143--150. New York, NY, USA, ACM, (2007)
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M. Mittermayer, and G. Knolmayer. ICDM '06: Proceedings of the Sixth International Conference on Data Mining, page 1002--1007. Washington, DC, USA, IEEE Computer Society, (2006)