Induction of classification from lexicon expansion
Echa Chang, Chu‐Ren Huang, Sue-jin Ker, Changhua Yang · 2002
We present in this paper a series of induced methods to assign domain tags to WordNet entries.Our prime objective is to enrich the contextual information in WordNet specific to each synset entry.By using the available lexical sources such as Far East Dictionary and the contextual information in WordNet itself, we can find a foundation upon which we can base our categorization.Next we further examine the similarity between common lexical taxonomy and the semantic hierarchy of WordNet.Based on this observation and the knowledge of other semantic relations we enlarge the coverage of our findings in a systematic way.Evaluation of the results shows that we achieved reasonable and satisfactory accuracy.We propose this as the first step of wordnet expansion into a bona fide semantic network linked to real-world knowledge.