<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Learning Analogies and Semantic Relations"^^ . "We present an algorithm for learning from unlabeled text, based on the \nVector Space Model (VSM) of information retrieval, that can solve verbal \nanalogy questions of the kind found in the Scholastic Aptitude Test (SAT). \nA verbal analogy has the form A:B::C:D, meaning \"A is to B as C is to D\"; \nfor example, mason:stone::carpenter:wood. SAT analogy questions provide \na word pair, A:B, and the problem is to select the most analogous word \npair, C:D, from a set of five choices. The VSM algorithm correctly\nanswers 47% of a collection of 374 college-level analogy questions \n(random guessing would yield 20% correct). We motivate this research by \nrelating it to work in cognitive science and linguistics, and by applying \nit to a difficult problem in natural language processing, determining \nsemantic relations in noun-modifier pairs. The problem is to classify a \nnoun-modifier pair, such as \"laser printer\", according to the semantic \nrelation between the noun (printer) and the modifier (laser). We use a \nsupervised nearest-neighbour algorithm that assigns a class to a given \nnoun-modifier pair by finding the most analogous noun-modifier pair in \nthe training data. With 30 classes of semantic relations, on a collection \nof 600 labeled noun-modifier pairs, the learning algorithm attains an F \nvalue of 26.5% (random guessing: 3.3%). With 5 classes of semantic\nrelations, the F value is 43.2% (random: 20%). The performance is \nstate-of-the-art for these challenging problems."^^ . "2003" . . . . . . . . . . . "Peter"^^ . "Turney"^^ . "Peter Turney"^^ . . "Michael"^^ . "Littman"^^ . "Michael Littman"^^ . . . . . . "Learning Analogies and Semantic Relations (PDF)"^^ . . . . . . "NRC-46488.pdf"^^ . . . "Learning Analogies and Semantic Relations (Image (PNG))"^^ . . . . . . "preview.png"^^ . . . "Learning Analogies and Semantic Relations (Indexer Terms)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #3084 \n\nLearning Analogies and Semantic Relations\n\n" . "text/html" . . . "Language" . . . "Computational Linguistics" . . . "Semantics" . . . "Machine Learning" . .