"6181","A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations","Recognizing analogies, synonyms, antonyms, and associations appear to be four  distinct tasks, requiring distinct NLP algorithms. In the past, the four  tasks have been treated independently, using a wide variety of algorithms.  These four semantic classes, however, are a tiny sample of the full  range of semantic phenomena, and we cannot afford to create ad hoc algorithms  for each semantic phenomenon; we need to seek a unified approach.  We propose to subsume a broad range of phenomena under analogies.  To limit the scope of this paper, we restrict our attention to the subsumption  of synonyms, antonyms, and associations. We introduce a supervised corpus-based  machine learning algorithm for classifying analogous word pairs, and we  show that it can solve multiple-choice SAT analogy questions, TOEFL  synonym questions, ESL synonym-antonym questions, and similar-associated-both  questions from cognitive psychology.","http://cogprints.org/6181/","Turney, Peter D.","UNSPECIFIED","       <span class=\"person_name\">Turney, Peter D.</span>     (2008)  <a href=\"http://cogprints.org/6181/\"><em>A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations.</em></a>       [Conference Paper]           ","peter.turney@nrc-cnrc.gc.ca","2008-08"