We use a word sense disambiguation system that integrates both local and topical features.
we use the current word and its partof-speech, a local context of three words to the left and right of the ambiguous word, the parts-ofspeech of the surrounding words, and a global context implemented through sense-specific keywords determined as a list of at most five words occurring at least three times in the contexts defining a certain word sense.