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| Titel: |
Why co-occurrence information alone is not sufficient to answer subcognitive questions |
| Auteur: |
French, Robert M. Labiouse, Christophe |
| Verschenen in: |
Journal of experimental & theoretical artificial intelligence |
| Paginering: | Jaargang 13 (2001) nr. 4 pagina's 421-429 |
| Jaar: |
2001-10-01 |
| Inhoud: |
Turney (2001) claims that a simple program, PMI-IR, that searches the World Wide Web for co-occurrences of words in 350 million Web pages can be used to find human-like answers to the type of 'subcognitive' questions French (1990) claimed would invariably unmask computers (that had not lived life as we humans had) in a Turing Test. This paper shows that there are serious problems with Turney's claim. We show that PMI-IR does not work for even simple subcognitive questions. PMI-IR's failure is attributed to its inability to understand the relational and contextual attributes of the words/concepts in the queries. Finally, it is shown that, even if PMI-IR were able to answer many subcognitive questions, a clever interrogator in the Turing Test would still be able to unmask the computer. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 7 van 7 gevonden artikelen
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