We describe the University of Heidelberg
(UHD) system for the Cross-LingualWord
Sense Disambiguation SemEval-2010 task
(CL-WSD). The system performs CLWSD
by applying graph algorithms previously
developed for monolingual Word
Sense Disambiguation to multilingual cooccurrence
graphs. UHD has participated
in the BEST and out-of-five (OOF) evaluations
and ranked among the most competitive
systems for this task, thus indicating
that graph-based approaches represent
a powerful alternative ...
We describe the University of Heidelberg
(UHD) system for the Cross-LingualWord
Sense Disambiguation SemEval-2010 task
(CL-WSD). The system performs CLWSD
by applying graph algorithms previously
developed for monolingual Word
Sense Disambiguation to multilingual cooccurrence
graphs. UHD has participated
in the BEST and out-of-five (OOF) evaluations
and ranked among the most competitive
systems for this task, thus indicating
that graph-based approaches represent
a powerful alternative for this task.
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