UHD: Cross-lingual word sense disambiguation using multilingual co-occurrence graphs

ABSTRACT

We describe the University of Heidelberg (UHD) system for the Cross-Lingual Word Sense Disambiguation SemEval-2010 task (CL-WSD). The system performs CL-WSD by applying graph algorithms previously developed for monolingual Word Sense Disambiguation to multilingual co-occurrence 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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Index Terms

• Applied computing

  • Document management and text processing

• Computing methodologies

  • Artificial intelligence

    • Natural language processing

      • Language resources