tag:blogger.com,1999:blog-6916168470376937425.post579884757831770123..comments2024-03-06T06:27:15.764-08:00Comments on Earning My Turns: Powerset In The New York TimesFernando Pereirahttp://www.blogger.com/profile/05849361902113771573noreply@blogger.comBlogger1125tag:blogger.com,1999:blog-6916168470376937425.post-85340562837975452992007-02-11T16:03:00.000-08:002007-02-11T16:03:00.000-08:00Great posts Fernando. I found your blog per Matt ...Great posts Fernando. I found your blog per Matt Hurst's posts relating to your comments. After reading backwards through your posts, I found myself wanting to introduce a similar response that I posted on Matt's blog about NLP systems. So here it is:<BR/><BR/>"I'd argue that there is a temporal axis to relevancy that is not being considered by NLP nor many other systems (I only know of one that does consider this). The temporal axis would help address finding the answer to a question like "show me the baddest movies of 1950". Had this question been asked in 1950 the answer would have been different than when asked today. The term "bad" has only recently evolved in jargon to mean "good". Hence, in 1950 the response might have correctly illicited movies that were undesirable or poorly made, while today that same query should correctly illicit movies that are really good. However, none of the proposed technologies has a notion of the temporal axis required to provide context to NLP queries. Hence, why I'm somewhat pessimistic about Powerset's hype, well that and the fact that many people have a tough time expressing themselves in writing, so how will an algorithm capture what a person means when the person doesn't have the tools (ability to write properly) to convey this. Call it a UI problem more than an algorithmic one."Anonymousnoreply@blogger.com