?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Uniform+Approach+to+Analogies%2C+Synonyms%2C+Antonyms%2C+and+Associations&rft.creator=Turney%2C+Peter+D.&rft.subject=Language&rft.subject=Computational+Linguistics&rft.subject=Semantics&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.description=Recognizing+analogies%2C+synonyms%2C+antonyms%2C+and+associations+appear+to+be+four%0D%0Adistinct+tasks%2C+requiring+distinct+NLP+algorithms.+In+the+past%2C+the+four%0D%0Atasks+have+been+treated+independently%2C+using+a+wide+variety+of+algorithms.%0D%0AThese+four+semantic+classes%2C+however%2C+are+a+tiny+sample+of+the+full%0D%0Arange+of+semantic+phenomena%2C+and+we+cannot+afford+to+create+ad+hoc+algorithms%0D%0Afor+each+semantic+phenomenon%3B+we+need+to+seek+a+unified+approach.%0D%0AWe+propose+to+subsume+a+broad+range+of+phenomena+under+analogies.%0D%0ATo+limit+the+scope+of+this+paper%2C+we+restrict+our+attention+to+the+subsumption%0D%0Aof+synonyms%2C+antonyms%2C+and+associations.+We+introduce+a+supervised+corpus-based%0D%0Amachine+learning+algorithm+for+classifying+analogous+word+pairs%2C+and+we%0D%0Ashow+that+it+can+solve+multiple-choice+SAT+analogy+questions%2C+TOEFL%0D%0Asynonym+questions%2C+ESL+synonym-antonym+questions%2C+and+similar-associated-both%0D%0Aquestions+from+cognitive+psychology.&rft.date=2008-08&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F6181%2F1%2Fturney_coling08.pdf&rft.identifier=++Turney%2C+Peter+D.++(2008)+A+Uniform+Approach+to+Analogies%2C+Synonyms%2C+Antonyms%2C+and+Associations.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F6181%2F