<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "The Latent Relation Mapping Engine: Algorithm and Experiments"^^ . "Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) and its implementation in the Structure Mapping Engine (SME). A limitation of SME is the requirement for complex hand-coded representations. We introduce the Latent Relation Mapping Engine (LRME), which combines ideas from SME and Latent Relational Analysis (LRA) in order to remove the requirement for hand-coded representations. LRME builds analogical mappings between lists of words, using a large corpus of raw text to automatically discover the semantic relations among the words. We evaluate LRME on a set of twenty analogical mapping problems, ten based on scientific analogies and ten based on common metaphors. LRME achieves human-level performance on the twenty problems. We compare LRME with a variety of alternative approaches and find that they are not able to reach the same level of performance."^^ . "2008-12-22" . . "33" . . "AI Access Foundation"^^ . . . "Journal of Artificial Intelligence Research"^^ . . . . . . . . "Peter D."^^ . "Turney"^^ . "Peter D. Turney"^^ . . . . . . "The Latent Relation Mapping Engine: Algorithm and Experiments (PDF)"^^ . . . . . . . . . . . "NRC-50738.pdf"^^ . . . "The Latent Relation Mapping Engine: Algorithm and Experiments (Image (PNG))"^^ . . . . . . "preview.png"^^ . . . "The Latent Relation Mapping Engine: Algorithm and Experiments (Indexer Terms)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #6305 \n\nThe Latent Relation Mapping Engine: Algorithm and Experiments\n\n" . "text/html" . . . "Language" . . . "Computational Linguistics" . . . "Semantics" . . . "Machine Learning" . . . "Artificial Intelligence" . .