Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French

@inproceedings{yar:decision, abstract = {This paper presents a statistical decision procedure for lexical ambiguity resolution. The algorithm exploits both local syntactic patterns and more distant collocational evidence, generating an efficient, effective, and highly perspicuous recipe for resolving a given ambiguity. By identifying and utilizing only the single best disambiguating evidence in a target context, the algorithm avoids the problematic complex modeling of statistical dependencies. Although directly applicable to a wide...}, author = {Yarowsky, David }, booktitle = {Meeting of the Association for Computational Linguistics}, citeulike-article-id = {346288}, pages = {88--95}, posted-at = {2005-10-09 13:12:36}, priority = {0}, title = {Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French}, url = {http://citeseer.ist.psu.edu/yarowsky94decision.html}, year = {1994} }

TY - CONF ID - yar:decision L3 - citeulike-article-id:346288 N2 - This paper presents a statistical decision procedure for lexical ambiguity resolution. The algorithm exploits both local syntactic patterns and more distant collocational evidence, generating an efficient, effective, and highly perspicuous recipe for resolving a given ambiguity. By identifying and utilizing only the single best disambiguating evidence in a target context, the algorithm avoids the problematic complex modeling of statistical dependencies. Although directly applicable to a wide... EP - 95 TI - Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French T2 - Meeting of the Association for Computational Linguistics SP - 88 AU - Yarowsky, David PY - 1994/// UR - http://citeseer.ist.psu.edu/yarowsky94decision.html ER -