| other,36-2-P06-2110,ak | of <term> similarity </term> , i.e. , <term> | taxonomic similarity | </term> and <term> associative similarity </term> | #12467 Through two experiments, three methods for constructing word vectors, i.e., LSA-based, cooccurrence-based and dictionary-based methods, were compared in terms of the ability to represent two kinds of similarity, i.e., taxonomic similarity and associative similarity. | |
| other,39-2-P06-2110,ak | <term> taxonomic similarity </term> and <term> | associative similarity | </term> . The result of the comparison was | #12470 Through two experiments, three methods for constructing word vectors, i.e., LSA-based, cooccurrence-based and dictionary-based methods, were compared in terms of the ability to represent two kinds of similarity, i.e., taxonomic similarity and associative similarity . | |
| other,13-3-P06-2110,ak | word vectors </term> better reflect <term> | taxonomic similarity | </term> , while the <term> LSA-based and the | #12486 The result of the comparison was that the dictionary-based word vectors better reflect taxonomic similarity , while the LSA-based and the cooccurrence-based word vectors better reflect associative similarity. | |
| other,26-3-P06-2110,ak | word vectors </term> better reflect <term> | associative similarity | </term> . We investigate <term> independent | #12499 The result of the comparison was that the dictionary-based word vectors better reflect taxonomic similarity, while the LSA-based and the cooccurrence-based word vectors better reflect associative similarity . |
