Name
Abstract | ||
|---|---|---|
We have constructed a Japanese semantically compatible resource and attached it to a dictionary used in our language analyzer, which segments text into words. We expect that semantically compatible words solve the data sparseness problem of corpus-based Natural Language Processing. By grouping compatible words together, the amount of words to process can be much reduced. In this study, we define hyponymy-and-hypernymy relation groups and synonym groups as semantically compatible words. The semantically compatible resource contains 343 concepts as hyponymy-and-hypernymy relation groups and 21,784 concepts as synonymy groups. We can obtain semantically compatible words from a Japanese word analyzer, SNOWMAN. The constructed resource will be available to the public. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IALP.2015.7451532 | 2015 International Conference on Asian Language Processing (IALP) |
Keywords | Field | DocType |
semantic classification,data sparseness | Computer science,Synonym,Artificial intelligence,Natural language processing,Linguistics | Conference |
ISSN | ISBN | Citations |
2159-1962 | 978-1-4673-9595-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuhide Yamamoto | 1 | 207 | 39.66 |
| Takahashi, K. | 2 | 0 | 1.69 |