The all-words WSD task, mapping from input words (x) to WordNet senses (y). Only nouns, verbs, adjectives, and adverbs are mapped, and note that some words (like guitar in the example below) only have one sense in WordNet.

• A surprisingly strong baseline is simply to choose the most frequent sense for each word from the senses in a labeled corpus. Being quite accuracy, this baseline is often used as a default, to supply a word sense when a supervised algorithm has insufficient training data.
• Another heuristic is allocating one sense per discourse, as we can sometimes notice that a word appearing multiple times in a text or discourse often appears with the same sense.