In regards to computing lexical similarity, the two fundamental problems are respectively concerned with how to explore concept relationships predefined and enumerated in lexical knowledge bases and how to statistically induce and learn context relationships from word co-occurrences. To address these problems, this book focuses on approaching both taxonomic similarity through the semantic networks in WordNet and distributional similarity through syntactically constrained context. The taxonomic similarity model we proposed outperforms most popular similarity methods with respect to simulating...
In regards to computing lexical similarity, the two fundamental problems are respectively concerned with how to explore concept relationships ...