Hello! I've got to know your work at the Cicling 2003, now I see that it has been continued in a pretty nice way, putting it all together. This is a very good idea because this shortens the long way between a scientific something and a practical use and gives other scientists the possibility to take this as a baseline, thus increasing the overall quality.
I have one comment on the methodology, SVD & co. is only one way to calculate semantical relations or similarity. Sentence-based co-occurrence measures might actually provide comparable dimensionality reduction for many reasons like seamless zooming, not having to calculate huge matrices (thus better time complexity) and some more. Based on this something like senseclustering can be done as well. Some experiments, clustering words by senses using this on two corpora german and english can be seen on that site: http://wortschatz.uni-leipzig.de/~sbordag/ (if it works - if not please email me) Maybe this approach could be added to SenseClusters but it would need reimplementation since it was only done as a proof-of-concept. Best regards, Stefan Bordag -- --------------------------------------------------------------------- - Bordag Stefan, [EMAIL PROTECTED] - - Institut fuer Informatik, Abt. Automatische Sprachverarbeitung - - Universitaet Leipzig - --------------------------------------------------------------------- ------------------------------------------------------- This SF.Net email is sponsored by: IBM Linux Tutorials Free Linux tutorial presented by Daniel Robbins, President and CEO of GenToo technologies. Learn everything from fundamentals to system administration.http://ads.osdn.com/?ad_id=1470&alloc_id=3638&op=click _______________________________________________ senseclusters-users mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/senseclusters-users
