From Distributional to Semantic Similarity

@phdthesis{Curran:03, abstract = {Lexical-semantic resources, including thesauri and WORDNET, have been successfully incorporated into a wide range of applications in Natural Language Processing. However they are very difficult and expensive to create and maintain, and their usefulness has been severely hampered by their limited coverage, bias and inconsistency. Automated and semi-automated methods for developing such resources are therefore crucial for further resource development and improved application performance.}, author = {Curran, J. }, citeulike-article-id = {933422}, posted-at = {2008-06-25 15:36:31}, priority = {2}, school = {Institute for Communicating and Collaborative Systems, School of Informatics, University of Edinburgh}, title = {From Distributional to Semantic Similarity}, url = {http://citeseer.ist.psu.edu/curran03from.html}, year = {2004} }

TY - THES ID - Curran:03 L3 - citeulike-article-id:933422 N2 - Lexical-semantic resources, including thesauri and WORDNET, have been successfully incorporated into a wide range of applications in Natural Language Processing. However they are very difficult and expensive to create and maintain, and their usefulness has been severely hampered by their limited coverage, bias and inconsistency. Automated and semi-automated methods for developing such resources are therefore crucial for further resource development and improved application performance. TI - From Distributional to Semantic Similarity PB - Institute for Communicating and Collaborative Systems, School of Informatics, University of Edinburgh AU - Curran, J PY - 2004/// UR - http://citeseer.ist.psu.edu/curran03from.html ER -