Name
Title | ||
|---|---|---|
Extracting semantic taxonomies of nouns from a korean MRD using a small bootstrapping thesaurus and a machine learning approach |
Abstract | ||
|---|---|---|
Most approaches for extracting hypernyms of a noun from the definition in an MRD rely on the lexico-syntactic patterns compiled by human experts. Not only these methods require high cost for compiling lexico-syntatic patterns but also it is very difficult for human experts to compile a set of lexical-syntactic patterns with a broad-coverage, because in natural languages there are various different expressions which represent the same concept. To alleviate these problems, this paper proposes a new method for extracting hypernyms of a noun from an MRD. In proposed approach, we use only syntactic(part-of-speech) patterns instead of lexico-syntactic patterns in identifying hypernyms to reduce the number of patterns while keeping their coverage broad. Our experiment shows that the classification accuracy of the proposed method is 92.37% which is significantly much better than those of previous approaches. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11428817_1 | NLDB |
Keywords | Field | DocType |
lexical-syntactic pattern,small bootstrapping thesaurus,human expert,korean mrd,classification accuracy,semantic taxonomy,new method,lexico-syntatic pattern,natural language,high cost,lexico-syntactic pattern,noun,part of speech,machine learning | Computer science,Bootstrapping,Noun,Computational linguistics,Natural language,Machine-readable dictionary,Natural language processing,Artificial intelligence,Parsing,Proper noun,Semantics,Machine learning | Conference |
Volume | ISSN | ISBN |
3513 | 0302-9743 | 3-540-26031-5 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| SeonHwa Choi | 1 | 0 | 0.68 |
| Hyuk-Ro Park | 2 | 21 | 5.53 |