Mining Associative Meanings from the Web : from word disambiguation to the global brain

@inproceedings{Heylighen2000MiningAM,
  title={Mining Associative Meanings from the Web : from word disambiguation to the global brain},
  author={Francis Heylighen},
  year={2000}
}
A general problem in all systems to process language (parsing, translating, etc.) is ambiguity: words have many, fuzzily defined meanings, and meanings shift with the context. This may be tackled by quantifying the connotative or associative meaning, which can be represented as a matrix of mutual association strengths. With many thousands of words, there are billions of possible associations, though, and there is no obvious method to measure all of them. This "knowledge acquisition bottleneck… CONTINUE READING

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