Two tasks involving lexical semantic sense tagging are described. Different task requirements
made it necessary to select different corpora to be tagged and to develop different tagging
interfaces to achieve the desired result. A vocabulary-building task required sequential tagging
of connnected text, whereas a word-sense identification task required targeted tagging of many
instances of common polysemous words. Advantages and drawbacks of both are compared.