Comparison of current semantic similarity methods in WordNet
作者： Haisheng Li , Yun Tian , Ben Ye , Qiang Cai
DOI: 10.1109/ICCASM.2010.5619038
关键词: Computational linguistics 、 WordNet 、 Similarity (network science) 、 Information retrieval 、 Computer science 、 Lexical database 、 Simple (abstract algebra) 、 Artificial intelligence 、 Semantic similarity 、 Natural language processing 、 Field (computer science) 、 Current (mathematics)
摘要: Semantic similarity calculating has become a widespread topic in the field such as artificial intelligence, natural language processing, information retrieval and so on. WordNet is an English lexical database for synsets relations. It simple effective to calculate between concepts WordNet. Five semantic methods based on are discussed this paper. By analyzing comparing those methods, features of each presented experiment results given finally.
sci-hub.se 参考文章(7)
Vincent Schickel-Zuber, Boi Faltings, OSS: a semantic similarity function based on hierarchical ontologies international joint conference on artificial intelligence. pp. 551- 556 ,(2007)
Dekang Lin, An Information-Theoretic Definition of Similarity international conference on machine learning. pp. 296- 304 ,(1998)
Zhibiao Wu, Martha Palmer, Verbs semantics and lexical selection Proceedings of the 32nd annual meeting on Association for Computational Linguistics -. pp. 133- 138 ,(1994) , 10.3115/981732.981751
Alexander Budanitsky, Graeme Hirst, Evaluating WordNet-based Measures of Lexical Semantic Relatedness Computational Linguistics. ,vol. 32, pp. 13- 47 ,(2006) , 10.1162/COLI.2006.32.1.13
Claudia Leacock, Martin Chodorow, Combining Local Context and Wordnet Similarity for Word Sense Identification MIT Press. pp. 265- 283 ,(1998)
Philip Resnik, Using Information Content to Evaluate Semantic Similarity in a Taxonomy arXiv: Computation and Language. ,(1995)
Jay J. Jiang, David W. Conrath, Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy arXiv: Computation and Language. ,(1997)